rd IEEE International Conference on Tools with Artificial ... · Dr. Murphy’s career has centered on combining fluorescence-based cell ... Arnaldo De A. Araujo and Jean Cousty

The 23rd IEEE International Conference on Tools with Artifi cial Intelligence (ICTAI 2011) November 7-9, 2011, Boca Raton, Florida, USA

http://www.cse.fau.edu/ictai2011/

The IEEE International Conference on Tools with Artificial Intelligence (ICTAI) is a premier internationalresearch forum which stimulates and fosters the exchange of ideas for artificial intelligence-related applications inacademia, industry, and government agencies. ICTAI seeks to advance all technical, theoretical, and practical aspects of Artificial Intelligence-based components of tools, including algorithms, applications, software, systems, and services. Representative issues to be addressed include, but are not limited to:

Artificial Intelligence Foundations

Artificial Intelligence in Domain Specific Applications

Artificial Intelligence and Agent Systems

AI in Knowledge Representation, Reasoning, and Cognitive Modeling

Machine Learning and Data Mining

Uncertainty in Artificial Intelligence

Program Committee Co-Chairs

Taghi M. Khoshgoftaar, Florida Atlantic University, USA [email protected]

Xingquan (Hill) Zhu, University of Technology, Sydney, Australia [email protected]

ICTAI 2011 Conference Program

Registration (Boca Ballroom Foyer)

Sunday : 4:00PM – 7:00PM Monday: 8:00AM – 4:00PM Tuesday: 8:00AM – 4:00PM

Wednesday: 8:00AM – 12:00PM

Speaker Ready Room (Parlor I) Speaker Preparation & Rehearsal

Monday: 8:00AM – 6:00PM Tuesday: 8:00AM – 6:00PM

Wednesday: 8:00AM – 6:00PM

Sponsors

IEEE Computer Society Technical Committee on Multimedia Computing

BAIS: Biological and Artificial Intelligence Society

Florida Atlantic University

Centre for Quantum Computation & Intelligent Systems, University of Technology, Sydney

Artnetminer: Tsinghua University

Conference Hotel Boca Raton Marriott at Boca Center 150 Town Center Circle, Boca Raton, Florida 33486 USA Phone: 1-561-392-4600 Fax: 1-561-368-9223 Toll-free: 1-888-888-3780

Keynote Speech November 7 2011 Machine Learning Approaches for Systems Biology and Drug Discovery Professor Robert F. Murphy Carnegie Mellon University

Abstract: Recognition of cells, tissues and organs as complex systems with emergent properties has led to the creation of the field of systems biology, and this complexity has also been manifested in a number of prominent drug recalls due to unanticipated side effects. Cutting-edge machine-learning methods have an important role to play in understanding biological systems and aiding drug development. Cell imaging assays are widely used in drug development and systems biology, and improved methods to extract detailed information from imaging assays are needed. The CellOrganizer project provides tools for learning generative models of cell organization directly from images and for synthesizing cell images (or other representations) from one or more models. Model learning captures variation among cells and inputs can be two- or three-dimensional static images or movies. Current components of CellOrganizer can learn models of cell shape, nuclear shape, chromatin texture, vesicular organelle size, shape and position, and microtubule distribution. These models can be conditional upon each other: for example, for a given synthesized cell instance, organelle position is dependent upon the cell and nuclear shape of that instance. Major advantages of the generative model approach are that models learned from separate experiments can be combined into one synthetic cell instance, and that results from different microscope systems and different experimental conditions can be compared through the framework of the generative model parameters that describe them. This will be especially important for integrating results from diverse studies of the effects of drugs and other perturbagens. However, this leads to a second machine learning challenge. Since the number of proteins that can be affected is in the tens of thousands, and the number of potential therapeutics whose effects we would like to know is at least in the hundreds of thousands, exhaustive testing of all compounds on all proteins is not feasible. Active machine learning methods, combined with generative models, can provide a framework for exploring large perturbagen spaces to find potential therapeutics with high desired activity on a specific target while minimizing activity on other targets. Short Bio: Dr. Robert F. Murphy is the Ray and Stephanie Lane Professor of Computational Biology and Director (Department Head) of the Lane Center for Computational Biology in the School of Computer Science at Carnegie Mellon University. He also is Professor of Biological Sciences, Biomedical Engineering, and Machine Learning. In 2003 he obtained a major grant from the National Science Foundation to found the Center for Bioimage Informatics at Carnegie Mellon. From 2005-2007, he served as the first full-term chair of NIH’s Biodata Management and Analysis Study Section. He is a Fellow of the American Institute for Medical and Biological Engineering, and received an Alexander von Humboldt Foundation Senior Research Award in 2008. Dr. Murphy has co-edited two books and three special journal issues on cell imaging, and has published over 180 research papers. He is Past-President of the International Society for Advancement of Cytometry, was named as the first External Senior Fellow of the School of Life Sciences in the Freiburg (Germany) Institute for Advanced Studies, and is a member of the National Advisory General Medical Sciences Council. Dr. Murphy’s career has centered on combining fluorescence-based cell measurement methods with quantitative and computational methods. In the mid 1990’s, his group pioneered the application of machine learning methods to high-resolution fluorescence microscope images depicting subcellular location patterns. This work led to the development of the first (1) systems for automatically recognizing all major organelle patterns in 2D and 3D images, (2) system for building generative models of subcellular organization directly from images, (3) systems for calculating the fraction of proteins in different organelles using both supervised and unsupervised unmixing methods, and (4) systems for automatically recognizing all major subcellular patterns in tissue images. His current research interests include image-derived models of cell organization and active machine learning approaches to experimental biology.

Nov. 7 2011 (Monday)

Breakfast: 7:00 AM - 8:30 AM (Boca Ballroom Foyer)

Conference Opening: 8:30 AM – 8:45 AM

Keynote Speech A

8:45 AM – 9: 45 AM (Boca Ballroom) Professor Robert F. Murphy

Machine Learning Approaches for Systems Biology and Drug Discovery

Coffee Break: 9:45 AM – 10: 00AM (Boca Ballroom Foyer)

Parallel Morning Sessions (10:00AM-12: 05PM)

Location: Salon A&B Location: Salon C Location: Parlor II&III Session A: Biomedical, Bioinformatics, and Applications

Chair: Eric Gregoire

Regular: (20 minutes each) 13: A Hybrid Consensus and Clustering Method for Protein Structure Selection Qingguo Wang, Yi Shang and Dong Xu 22: Discriminative Mutation Chains in Virus Sequences Dhaval Patel, Wynne Hsu and Mong Li Lee 33: Flexible, efficient and interactive retrieval for supporting in-silico studies of arbuscular mycorrhizal fungi and of their endobacteria Stefania Montani, Giorgio Leonardi, Stefano Ghignone and Luisa Lanfranco 263: Using Artificial Neural Network To Determine Favorable Wheelchair Tilt and Recline Usage In People With Spinal Cord Injury Jicheng Fu, Jerrad Genson, Yih-Kuen Jan and Maria Jones 226: Itemset mining in noisy contexts: a hybrid approach Karima Mouhoubi, Lucas Létocart and Celine Rouveirol Short: (15 minutes each) 127: An Adaptive Neural Network Filter for Improved Patient State Estimation in Closed-Loop Anesthesia Control Eddy Borera, Larry Pyeatt, Brett Moore

Session B: Planning-I

Chair: Pavel Surynek

Regular: (20 minutes each) 20: Collaborative Approaches to Complementing Qualitative Preferences of Agents for Effective Service Selection Hongbing Wang, Jie Zhang, Yangyu Tang and Shizhi Shao 87: Local Search with Configuration Checking for SAT Shaowei Cai and Kaile Su 91: Dynamic polarity adjustment in a parallel SAT Long Guo and Jean Marie Lagniez 95: Using a Goal-Agenda and Committed Actions in Real-Time Planning Damien Pellier, Bruno Bouzy and Marc Métivier 235: DEVELOPING STRATEGIES FOR IMPROVING PLANNING AND SCHEDULING OF ACTIONS IN RTS GAMES Augusto Branquinho, Carlos Lopes and Thiago Naves Short: (15 minutes each) 78: Key-Based Problem Decomposition for Relational Constraint Satisfaction Problems James Lu and Sebastien Siva 272: A Planning Algorithm for Incorporating Attempts and

Session C: Learning and Pattern Recognition

Chair: Nikolaos Bourbakis

Regular: (20 minutes each) 52: Effective XML Classification using Content and Structural Information via Rule Learning Gianni Costa, Riccardo Ortale and Ettore Ritacco 213: A simple hierarchical clustering method for improving flame pixel classification Kleber J. F. Souza, Silvio J. F. Guimaraes, Zenilton Patrocínio Jr., Arnaldo De A. Araujo and Jean Cousty 248: A Selective Fuzzy Region Competition Model for Multiphase Image Segmentation Vinicius Borges, Marcos Aurélio Batista, Denise Guliato and Celia Zorzo Barcelos 119: An Experimental Study on Learning with Good Edit Similarity Functions Aurélien Bellet, Marc Sebban and Amaury Habrard Short: (15 minutes each) 256: Segmentation of Touching Handwritten Digits Using Self-Organizing Maps Everton Lacerda and Carlos Mello

and Anthony Doufas 243: Simultaneous Feature and Model Selection for High-Dimensional Data – an application to microarray datasets Alessandro Perolini and Sébastien Guérif

Nondeterminism into Interactive Stories Fabio A. Guilherme Da Silva, Angelo Ciarlini and Sean Siqueira

53: A Mobile Automated Skin Lesion Classification System Kiran Ramlakhan and Yi Shang 116: Effort Prediction Models using Self-Organizing Maps for Embedded Software Development Projects Kazunori Iwata, Tohoshiro Nakashima, Yoshiyuki Anan and Naohiro Ishii

Lunch break: 12:15 PM – 13: 30PM (Tended Courtyard & Boca Ballroom)

Parallel Afternoon Sessions (13:30PM – 3:00PM)

Location: Salon A&B Location: Salon C Location: Parlor II&III Session D: Behavior Modeling and Social Computing

Chair: Friedhelm Schwenker

Regular: (20 minutes each) 89: Learning to achieve social rationality using tag mechanism in repeated interactions Jianye Hao and Ho-Fung Leung 217: GOOD TO BE BAD? DISTINGUISHING BETWEEN POSITIVE AND NEGATIVE CITATIONS IN SCIENTIFIC IMPACT Diana Cavalcanti, Shreyasee Pradhan, Jatin Shah, Ricardo Prudencio and Ricardo Pietrobon 222: An Epidemic Model for News Spreading on Twitter Saeed Abdullah and Xindong Wu 221: Using HMMs for Discriminating Mobile from Static Objects in a 3D Occupancy Grid Amandine Dubois, Abdallah Dib, Francois Charpillet and Cedric Rose Short: (15 minutes each) 169: Homogeneous Ensemble Selection through Hierarchical Clustering with a Modified Artificial Fish Swarm Algorithm João Fausto Lorenzato De Oliveira and Teresa Ludermir

Session E: Pattern Recognition

Chair: Qi Li

Regular: (20 minutes each)

59: Domain Adaptation with Good Edit Similarities: a Sparse Way to deal with Scaling and Rotation Problems in Image Classification Jean-Philippe Peyrache, Amaury Habrard and Marc Sebban 96: Simultaneous Tracking and Activity Recognition Cristina Manfredotti, David Fleet, Howard J Hamilton and Sandra Zilles 219: Scale Assignment for Imbalanced Points Qi Li Short: (15 minutes each) 118: Discrete exponential Bayesian networks: an extension of Bayesian networks to discrete natural exponential families Aida Jarraya, Philippe Leray and Afif Masmoudi 142: Filtering by ULP maximum Matthieu Carlier and Arnaud Gotlieb

Session F: Personalization & Recommendation

Chair: Xiaoyuan Su


90: Cooperative Co-evolution with Weighted Random Grouping for Large Scale Crossing Waypoints Locating in Air Route Network Mingming Xiao, Jun Zhang, Kaiquan Cai, Xianbin Cao and Ke Tang Short: (15 minutes each) 85: Collaborative Filtering Based on Star Users Qiang Liu, Bingfei Cheng and Congfu Xu 112: Does There Exist Relationship between Personality and Handwriting of Chinese Characters? A View from Image Mining Zhanghui Chen and Baoyao Zhou 212: A formal approach to personalization Georges Dubus, Fabrice Popineau and Yolaine Bourda 190: HappyMovie: A Facebook Application for Recommending Movies to Groups Lara Quijano-Sanchez, Juan Recio-Garcia and Belen Diaz-Agudo

Coffee break 3:30PM – 4:00PM (Boca Ballroom Foyer)


Location: Salon A&B Location: Salon C Location: Parlor II&III Session G: Multi-Objective Optimization

Chair: Wei Ding


140: A Multi-Objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution Effort Luciano S. Souza, Péricles B. C Miranda, Ricardo B. C. Prudêncio and Flávia A. Barros 192: Portfolio Optimization through Data Conditioning and Aggregation Elaine Wah, Yi Mei and Benjamin W. Wah 273: SMSP-EMOA: Augmenting SMS-EMOA with the Prospect Indicator for Multiobjective Optimization Dung Phan, Junichi Suzuki and Pruet Boonma 51: A Multi-Objective Genetic Algorithm for Pruning Support Vector Machines Mohamed Farouk Abdel Hady, Wesam Herbawi, Michael Weber and Friedhelm Schwenker Short: (15 minutes each) 107: Boosting Indicator-based Selection Operators for Evolutionary Multiobjective Optimization Algorithms Dung Phan and Junichi Suzuki

Session H: Planning-II

Chair: Ahmed Haidar


9: Ant Colony VS. Genetic Multiobjective Route Planning in Dynamic Multi-hop Ridesharing Wesam Herbawi and Michael Weber 139: Collective Decision-Theoretic Planning for Planet Exploration Arnaud Canu and Mouaddib Abdel-Illah 218: A Complete State-Space Based Temporal Planner Masood Feyzbakhsh Rankooh and Gholamreza Ghassem-Sani 171: Modeling Soft Global Constraints as Linear Programs in Weighted Constraint Satisfaction Jimmy H. M. Lee and Shum Yu Wai 234: Exploiting Cardinality Encodings in Parallel Maximum Satisfiability Ruben Martins, Vasco Manquinho and Inês Lynce

Special Session on TWM

Chair: Peng Zhang


ST18: TopicView: Visually Comparing Topic Models of Text Collections Patricia Crossno, Andrew Wilson, Timothy Shead and Daniel Dunlavy ST10: Bootstrapping Multilingual Relation Discovery using English Wikipedia and Wikimedia-Induced Entity Extraction Patrick Schone, Tim Allison, Chris Giannella and Craig Pfeifer ST13: Extracting Scholar Information from Conference Web Pages Peng Wang and Yue You

Short: (15 minutes each)

ST24: Lyrics-based Emotion Classification using Feature Selection by Partial Syntactic Analysis Minho Kim and Hyuk-Chul Kwon ST22: Detection and Analysis of Trend Topics for Global Scientific Literature using Feature Selection based on Gini-Index Heum Park, Eunsun Kim, Kuk-Jin Bae, Hyuk Hahn, Tae-Eung Sung and Hyuk-Chul Kwon

Reception 6:00PM – 8:30PM (Boca Ballroom)

Poster Session : 6:00PM – 8:30PM (Boca Ballroom)

24: Verbal Characterization of Probabilistic Clusters using Minimal Discriminative Propositions

Yoshitaka Kameya, Satoru Nakamura, Tatsuya Iwasaki and Taisuke Sato

44: Classification by Clusters Analysis - An Ensemble Technique in a Semi-Supervised Learning

Anna Jurek, Yaxin Bi, Chris Nugent and Shengli Wu

47: Feature Selection by Boosting the AUC Margin for Intrusion Detection in Virtual Machine Environments

Malak Alshawabkeh

49: Anytime heuristic for determining agent paths that minimize maximum latency in a sparse DTN

Achudhan Sivakumar and Colin Tan

64: Detecting Link Communities based on Local Approach

Lei Pan, Chongjun Wang, Junyuan Xie and Meilin Liu

75: Molecular Assembly Tool for Synthesizing Multitier Computer Networks

Sami Habib and Paulvanna Nayaki Marimuthu

80: An Improved Centroid-based Approach for Multi-label Classification of Web Pages by Genre

Chaker Jebari

88: Optimal Location of Distributed Generation Using Intelligent Optimization

Ahmed Haidar

100: Top Subspace Synthesizing for Promotional Subspaces Mining

Yan Zhang, Yiyu Jia, and Chunying Zhao

123: A Tabled Prolog Program for Solving Sokoban

Neng-Fa Zhou and Agostino Dovier

131: A new linear platoon model based on reactive multi-agent systems

Madeleine El-Zaher, Franck Gechter, Pablo Gruer and Mohammad Hajjar

134: A study of risk analysis methods based on uncertain event analysis in strategy decision-making

Rui Chu, Chifei Zhou and Youfei Cai

135: Local discretization for numerical data classification based on navigation in Galois Lattices

Nathalie Girard, Karell Bertet and Muriel Visani

159: NASS: News Annotation Semantic System

Angel Luis Garrido, Oscar Gomez, Sergio Ilarri and Eduardo Mena

177: Weight factor algorithms for activity recognition in lattice based sensor fusion

Jing Liao, Yaxin Bi and Chris Nugent

183: Design and Development of a Social Intelligence based Context-Aware Middleware using BlackBoard

Joohee Suh and Chongwoo Woo

191: A New Hybrid Algorithm for Multiobjective Optimization

Vahid Azadehgan, Alireza Sooni, Nafiseh Jafarian and Deniz Khateri

199: Boosting Inductive Logic Programming via Decomposition, Merging, and Refinement

Roman Barták and Andrej Chovanec

202: Evaluating Tree-Decomposition based Algorithms for Answer Set Programming

Michael Morak, Nysret Musliu, Reinhard Pichler, Stefan Rümmele and Stefan Woltran

229: Machine-Learning Models for Software Quality: a Compromise Between Performance and Intelligibility

Hakim Lounis, Tamer Fares Gayed and Mounir Boukadoum

255: A Petri Net-based Metric for Active Rule Validation

Lorena Chavarría-Báez and Xiaoou Li

259: On Validating Boolean Optimization Solvers

Antonio Morgado and Joao Marques-Silva

261: The Logic of Hypothesis Generation in Kinetic Modeling of System Biology

Pierre Siegel and Andrei Doncescu

266: Solving Fuzzy DCSPs with Naming Games

Stefano Bistarelli, Giorgio Gosti and Francesco Santini

274: Cloud-Computing-based Parallel Genetic Algorithm for Gene Microarray Data Analysis

Rommel Benites Palomino and Lily Liang

281: Recurrent Neural Networks for moisture content prediction in seed corn dryer buildings

Daniel Elliott and Russell Valentine

Keynote Speech November 8 2011 Understanding Collective Behavior in Social Media

Professor Huan Liu Arizona State University Abstract The prevalence of social media offers a new kind of laboratory for behavioral study. In the era of the social Web, we are presented with unparalleled opportunities and novel challenges. In this talk, we will introduce some of our recent studies on collective behavior with this new means. In particular, we will discuss some projects that illustrate our endeavors to improve the understanding of collective behavior in social media. We inquire whether one can disentangle the complicated connections among users to find their intrinsic group memberships; look into user migration patterns in the presence of seemingly unlimited choices of social media services; and question the comparability between what we learn about social behavior in social media and what we can expect in the physical world. We benefit significantly from extant sociological theories and methodologies in carrying out interdisciplinary research that sheds light into our study. The improved understanding of collective behavior can help develop social media services that encourage more user participation with better experience in pervasive social media activities. Short Bio Dr. Huan Liu is a professor of Computer Science and Engineering at Arizona State University. He obtained his Ph.D. in Computer Science at University of Southern California and B.Eng. in Computer Science and Electrical Engineering at Shanghai JiaoTong University. He is recognized for excellence in teaching and research in Computer Science and Engineering at Arizona State University. His research interests are data mining, machine learning, social computing, and artificial intelligence. His research focus is centered on investigating problems that arise in many real-world applications with high-dimensional data of disparate forms such as analyzing social media, group interaction and modeling, data preprocessing (feature selection), and text/web mining. His well-cited publications include books, book chapters, encyclopedia entries as well as conference and journal papers. He serves on journal editorial boards and numerous conference program committees, and is a founding organizer of the International Conference Series on Social Computing, Behavioral-Cultural Modeling, and Prediction (http://sbp.asu.edu/). He is an ACM Distinguished Scientist. For contact information and links to recent publications, please visit http://www.public.asu.edu/~huanliu/

Nov. 8 2011 (Tuesday)


Keynote Speech B

8:30AM – 9: 30 AM (Boca Ballroom) Professor Huan Liu

Understanding Collective Behavior in Social Media

Coffee Break: 9:30 AM – 10: 00AM


Location: Salon A&B Location: Salon C Location: Parlor II&III Session I: Agent Systems-I

Chair: Sergio Esparcia


18: Multi-Agent Diffusion of Decision Experiences Xiaocong Fan and Meng Su 268: Enhancing the Quality of Recommendations Through Expert and Trusted Agents Fabiana Lorenzi, Mara Abel and Stanley Loh 279: Under Uncertainty Trust Estimation Through Unknown Agents, in a Multi-Valued Trust Environment Sina Honari, Brigitte Jaumard and Jamal Bentahar 293: A biologically inspired memory in a multi-agent based robotic architecture Tomas Arredondo 92: Adaptive Routing Point Control in Virtualized Local Area Networks Using Particle Swarm Optimizations Kensuke Takahashi, Toshio Hirotsu and Toshiharu Sugawara 160: Interactive Surface for Bio-inspired

Session J: Pattern Recognition – II

Chair: Jean-Charles LAMIREL


12: Combining Shape and Appearance for Automatic Pedestrian Segmentation Yanli Li, Zhong Zhou and Wei Wu 79: Trajectory Outlier Detection Using An Analytical Approach Elio Masciari 137: Maximum Margin/Volume Outlier Detection Shukai Li and Ivor W. Tsang Short: (15 minutes each) 292: A Fuzzy Logic Approach for a Software Effort Estimation Regression Model Ali Bou Nassif, Luiz Fernando Capretz and Danny Ho 41: Multi-view Transfer Learning with Adaboost Zhijie Xu and Shiliang Sun 240: 3D mapping of outdoor environment using clustering techniques Olivier Aycard and Manuel Yguel

Session K: Text Mining

Chair: Yaxin Bi


42: Personalized News Filtering and Summarization on the Web Xindong Wu, Fei Xie, Gongqing Wu and Wei Ding 249: Combination of Evidence-based Classifiers for Text Categorization Yaxin Bi, Shengli Wu, Hui Wang and Gongde Guo 55: Managing Uncertainty in Text-To-Sketch Tracking Problems Matthew Schmill and Tim Oates Short: (15 minutes each) 216: How to Reason by HeaRT in a Semantic Knowledge-Based Wiki Weronika T. Adrian, Szymon Bobek and Grzegorz J. Nalepa 200: Determining Degree of Relevance of Reviews Using a Graph-Based Text Representation Lakshmi Ramachandran and Edward

Robotics, Re-examining Foraging Models Olivier Simonin, Thomas Huraux and François Charpillet

113: A bio-inspired model for image representation and image analysis Hui Wei, Qingsong Zuo and Bo Lang

Gehringer 126: Improved Graph-based Bilingual Corpus Selection with Sentence Pair Ranking for Statistical Machine Translation Wenhan Chao 167: Incremental Query Answering over Dynamic Contextual Information Mohammad Oliya, Jian Zhu and Hung Keng Pung



Location: Salon A&B Location: Salon C Location: Parlor II&III

Session L: Parallel, Distributed, Ubiquitous, and Autonomous Computing

Chair: Luigi Portinale


1: Distributed Coordination Guidance in Multi-Agent Reinforcement Learning Qiangfeng Peter Lau, Mong Li Lee and Wynne Hsu 231: Cross-Organizational Cooperation Framework for Security Management in Ubiquitous Computing Environment Mohamed Hilia, Abdelghani Chibani, Yacine Amirat and Karim Djouani 23: A Fast Parallel Branch and Bound Algorithm for Treewidth Yang Yuan Short: (15 minutes each) 35: Using Dynamic Decision Networks and Extended Fault Trees for Autonomous Fault Detection, Identification and Recovery Luigi Portinale and Daniele Codetta-Raiteri 196: Toward Autonomous Search with Island Model Adrien Goeffon and Frederic Lardeux

Session M: Structure Discovery

Chair: Jean-Charles LAMIREL


233: Mining Non-Derivable Hypercliques Anna Koufakou and Pradeep Ragothaman 257: Independence-based MAP for Markov networks structure discovery Facundo Bromberg, Federico Schlüter and Alejandro Edera 157: Guiding VNS with Tree Decomposition Mathieu Fontaine, Samir Loudni and Boizumault Patrice Short: (15 minutes each) 76: A Center-based Community Detetion Mehod In Weighted Networks Jin Jie, Pan Lei, Wang Chongjun and Xie Junyuan 104: Ranking in Co-effecting Multi-Object/Link Types Networks Bo Zhou, Manna Wu, Xin Xia and Chao Wu

Special Session on FSDMML-I

Chair: John Sloan


ST33: The Effect of the Characteristics of the Dataset on the Selection Stability Salem Alelyani, Lei Wang and Huan Liu ST15: Feature Selection for Vibration Sensor Data Transformed by a Streaming Wavelet Packet Decomposition Randall Wald, Taghi Khoshgoftaar and John Sloan ST16: Measuring Stability of Threshold-based Feature Selection Techniques Huanjing Wang and Taghi Khoshgoftaar Short: (15 minutes each) ST28: Quantifying Features using False Nearest Neighbors: An Unsupervised Approach Jose Augusto Andrade Filho, Andre Carlos Ponce De Leon Ferreira Carvalho, Rodrigo Fernandes Mello, Salem Alelyani and Huan Liu. ST4: Feature Selection and Geometrical Complexity of Classification Problems Iryna Skrypnyk



Location: Salon A&B Location: Salon C Location: Parlor II&III Session N: Agent Systems-II

Chair: Tomas Arredondo


201: An Adaptive Sanctioning Mechanism for Open Multi-Agent Systems Regulated by Norms Roberto Centeno, Holger Billhardt and Ramon Hermoso 260: A Case-Based Reasoning Framework for Developing Agents Using Learning by Observation Michael Floyd and Babak Esfandiari 254: ReadAid: A Robust and Fully-Automated Readability Assessment Tool Rani Qumsiyeh and Yiu-Kai Ng 185: Artifacting and Regulating the Environment of a Virtual Organization Sergio Esparcia, Roberto Centeno, Ramon Hermoso and Estefania Argente Short: (15 minutes each) 220: Multi-Agent Simulation Design Driven by Real Observations and Clustering Techniques Imen Saffar, Arnaud Doniec, Stephane Lecoeuche and Jacques Boonaert 67: A self healing action composition agent Mohamad El Falou, Bouzid Maroua, Mouaddib Abdel-Illah and Thierry Vidal

Session O: Learning, Evaluation, and Optimization

Chair: Xiaoyuan Su


170: ROBUST Path Strategy Evaluator Angie Shia, Farokh Bastani and I-Ling Yen Short: (15 minutes each) 117: Adaptive batch SOM for multiple dissimilarity data tables Anderson Berg Dos S. Dantas and Francisco De A. T. De Carvalho 168: Classification of hyperspectral imagery using GPs and the OAD covariance function Sven Schneider, Arman Melkumyan, Richard Murphy and Eric Nettleton 242: A generic architecture for embedded perception in dynamic outdoor environment Olivier Aycard, Qadeer Baig and Trung-Dung Vu 277: Incorporating Prior-Knowledge in Support Vector Machines by Kernel Adaptation Antoine Veillard, Daniel Racoceanu and Stephane Bressan

Special Session on FSDMML-II

Chair: John Sloan


ST5: Impact of Data Sampling on Stability of Feature Selection for Software Measurement Data Kehan Gao, Taghi Khoshgoftaar and Amri Napolitano ST17: Feature Selection on Dynamometer Data for Reliability Analysis Janell Duhaney, Taghi Khoshgoftaar and John Sloan ST30: Count Data Clustering using Unsupervised Localized Feature Selection and Outliers Rejection Nizar Bouguila Short: (15 minutes each) ST23: Two phases Heuristic Construction of the set of useful features for Classification Task Miguel García Torres, Roberto Ruiz, Belén Melián Batista, José A. Moreno Pérez and J. Marcos Moreno-Vega

Banquet 6:30PM – 9:00PM (Boca Ballroom)

Keynote Speech

November 9 2011 Mining Scinetific Data: Past, Present, and Future

Professor Vipin Kumar University of Minnesota Abstract The field of data mining grew out of the need of analyzing very large and complex data sets being generated in the scientific and commercial arena. This talk will focus on the advances made by our community in the context of mining scientific and engineering data sets. It will review the progress made so far, state of the art, as well as challenges for the future. A special focus will be on two domains of urgent societal interest: health and climate. We will discuss a number of applications that exemplify some of the most important questions faced by the scientists in these domains today and the role the data mining community can play in answering them. Short Bio Dr. Vipin Kumar is currently William Norris Professor and Head of Computer Science and Engineering at the University of Minnesota. His research interests include High Performance computing and data mining. He has authored over 250 research articles, and co-edited or coauthored 11 books including the widely used text book ``Introduction to Parallel Computing", and "Introduction to Data Mining" both published by Addison-Wesley. Dr. Kumar has served as chair/co-chair for over a dozen conferences/workshops in the area of data mining and parallel computing. In 2001, Kumar co-founded SIAM International Conference on Data Mining and served as its steering committee chair until 2007. Dr. Kumar is a founding co-editor-in-chief of Journal of Statistical Analysis and Data Mining, editor-in-chief of IEEE Intelligent Informatics Bulletin, and series editor of Data Mining and Knowledge Discovery Book Series published by CRC Press/Chapman Hall. He is a Fellow of the AAAS, ACM and IEEE. He received the 2009 Distinguished Alumnus Award from the Computer Science Department, University of Maryland College Park, and 2005 IEEE Computer Society's Technical Achievement Award for contributions to the design and analysis of parallel algorithms, graph-partitioning, and data mining.

Nov. 9 2011 (Wednesday)


Keynote Speech C

8:30AM – 9: 30 AM (Boca Ballroom) Professor Vipin Kumar

Mining Scientific Data: Past, Present, and Future

Coffee Break: 9:30 AM – 10: 00AM (Boca Ballroom Foyer)


Location: Salon A&B Location: Salon C Location: Parlor II&III Session P: Planning & Argumentation Systems:

Chair: Stefano Bistarelli


84: Real-Time Pedestrian Evacuation Planning During Emergency Tarik Hadzic, Kenneth N. Brown and Cormac J. Sreenan 97: ConArg: A Constraint-based Computational Framework for Argumentation Systems Stefano Bistarelli and Francesco Santini 102: Equivalence of Logic-Based Argumentation Systems Leila Amgoud and Srdjan Vesic 120: Numerical information fusion:Lattice of answers with supporting arguments Zainab Assaghir, Mehdi Kaytoue, Amedeo Napoli, Didier Dubois and Henri Prade Short: (15 minutes each) 74: Weighted argumentation systems: a tool for merging argumentation systems Claudette Cayrol and Marie-Christine Lagasquie

Session Q: Ontology, Semantic, and Reasoning

Chair: Xinxin Sheng


287: Partition-Based Consequence Finding Gauvain Bourgne and Katsumi Inoue 225: Equivalence Class Based Parity Reasoning with DPLL(XOR) Tero Laitinen, Tommi Junttila and Ilkka Niemelä Short: (15 minutes each) 27: A Decomposition-based Approach to OWL DL Ontology Diagnosis Jianfeng Du, Guilin Qi, Jeff Z. Pan and Yi-Dong Shen 70: New computational aspects in master-slave systems of semantic schemas. Nicolae Tandareanu and Cristina Zamfir 172: A Unified Ontology Merging and Enrichment Framework Mohammed Maree, Mohammed Belkhatir and Saadat Alhashmi 182: An augmented-based approach for Compiling Min-based Possibilistic Causal Networks

Session R: Learning & Programming

Chair: Latifur Khan


30: Adaptive Behavioral Programming Nir Eitan and David Harel 151: Transformations Learning in Context of Model-Driven Data Warehouse: An Experimental Design Based on Inductive Logic Programming Moez Essaidi, Aomar Osmani and Céline Rouveirol 122: Redundancy Elimination in Highly Parallel Solutions of Motion Coordination Problems Pavel Surynek 31: MEDITO: A logic-based meta-diagnosis tool Nuno Belard, Yannick Pencole and Michel Combacau 124: A New Hybrid Evolutionary-based Data Clustering Using Fuzzy Particle Swarm Optimization Sherin Youssef 211: Using the H-divergence to Prune Probabilistic Automata Marc Bernard, Baptiste Jeudy, Jean-Philippe Peyrache, Marc Sebban and Franck Thollard

93: Identifying the core of logic-based argumentation systems Leila Amgoud, Besnard Philippe and Srdjan Vesic 198: Disassembling and Reconstructing Algorithms for Discrete Event Systems Xuena Geng, Dantong Ouyang and Jinsong Guo

Raouia Ayachi, Nahla Ben Amor and Salem Benferhat 228: Contextual Decision Making in General Game Playing Xinxin Sheng and David Thuente



Location: Salon A&B Location: Salon C Location: Parlor II&III Session S: Time series, String, Stream, Online Learning

Chair: Friedhelm Schwenker


17: Time Series Discretization via MDL-based Histogram Density Estimation Yoshitaka Kameya 125: Complete coverage for approximate string matching in record linkage using bit vectors Marijn Schraagen Short: (15 minutes each) 38: New Approach on Temporal Data Mining for Symbolic Time Sequences: Temporal Tree Associate Rules Mathieu Guillame-Bert and James L. Crowley 58: A micro-cluster based ensemble approach for classifying distributed data streams Guojun Mao and Yi Yang 176: Adaptive Shared-filter Ordering for Efficient Multimedia Stream Monitoring Jun Li, Peng Wang and Peng Zhang 184: Approximate Online Inference for Dynamic Markov Logic Networks Thomas Geier and Susanne Biundo

Session T: Constraint Satisfaction

Chair: Shukai Li


10: Weighted Constraint Satisfaction Problems with Min-Max Quantifiers Jimmy H.M. Lee, Terrence W.K. Mak and Justin Yip 150: Agile Asynchronous Backtracking for Distributed Constraint Satisfaction Problems Christian Bessiere, Bouyakhf El Houssine, Younes Mechqrane and Mohamed Wahbi 115: A Combinatorial Optimisation Approach to the Design of Dual Parented Long-Reach Passive Optical Networks Hadrien Cambazard, Deepak Mehta, Barry O&apos Short: (15 minutes each) 284: A Simplex-Based Scalable Linear Constraint Solver for User Interface Applications Hiroshi Hosobe 153: Consistency of triangulated temporal qualitative constraint networks Assef Chmeiss and Jean-François Condotta

Combined Special Sessions on Monitoring and Surveillance, and Stream Data Mining (SDM)

Chair: Nikolaos Bourbakis


W-1: Toward a remote-controlled weapon-equipped camera surveillance system Robert Bisewski and Pradeep K. Atrey W-2: A Synergistic Model for Monitoring Brain's Changes: A Case Study N. Bourbakis, S. Makrogiannis and D. Kapogiannis W-3: ECG Beat Classification using Optimal Projections in Overcomplete Dictionaries Alexandros Pantelopoulos, Member, IEEE, and Nikolaos Bourbakis ST36: Supervised Learning for Insider Threat Detection Using Stream Mining Latifur Khan ST14: A Proposal for a Real-Time Burst Detection Method Ryohei Ebina, Kenji Nakamura and Shigeru Oyanagi



Location: Salon A&B Location: Salon C Location: Parlor II&III

Session U: Clustering & Classification

Chair: Latifur Khan


209: Disagreement Based Co-training Jafar Tanha, Maarten Someren and Hamideh Afsarmanesh 161: Weighted Nonnegative Matrix Tri-Factorization for Co-Clustering Zhao Li and Xindong Wu 73: An Expandable Hierarchical Statistical Framework for Count Data Modeling and its Application to Object Classification Ali Shojaee Bakhtiari and Nizar Bouguila 108: The One-Hidden Layer Non-parametric Bayesian Kernel Machine Sotirios Chatzis, Dimitrios Korkinof and Yiannis Demiris 45: An Unsupervised Approach for Identifying Spammers in Social Networks Mohamed Bouguessa

Combined Special Sessions on RSEC and SDM

Chair: Peng Zhang


ST2: Adding Constraints and Flexible Preferences in Travel Reservation Systems Salem Benferhat ST8: Towards Optimal Active Learning for Matrix Factorization in Recommender Systems Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos and Lars Schmidt-Thieme ST35: Incremental Kernel Mapping Algorithms for Highly Scalable Recommender Systems Mustansar Ghazanfar, Sandor Szedmak and Adam Prugel-Bennett. Short: (15 minutes each)

ST25: Self-Organized Hierarchical Methods for Time Series Forecasting Fuad Abinader, Alynne Queiroz and Daniel Honda

ST12: Capability of Classification of Control Chart Patterns Classifiers Using Symbolic Representation Preprocessing and Evolutionary Computation Kittichai Lavangnananda and Pantharee Sawasdimongkol ST7: A covert communication method based on User-Generated Content sites Qingfeng Tan, Peipeng Liu, Jinqiao Shi, Xiao Wang and Li Guo

Session V: Subspace Learning:

Chair: John Sloan


99: EProbe: an Efficient Subspace Probing Framework Yan Zhang and Yiyu Jia 138: Feature Filtering for Instance-Specific Algorithm Configuration Christian Kroer and Yuri Malitsky 188: Similarity Calculation with Length Delimiting Dictionary Distance Andre Burkovski, Sebastian Klenk and Gunther Heidemann Short: (15 minutes each) 48: Transferable Discriminative Dimensionality Reduction Wenting Tu and Shiliang Sun 178: RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data Manoranjan Dash

Conference Closing

ICTAI 2011 Organizing Committee General Chair Eric Grégoire, CRIL, Universitd'Artois, France

Program Committee Co-Chairs Taghi M. Khoshgoftaar , Florida Atlantic University, USA Xingquan (Hill) Zhu , University of Technology, Sydney, Australia

Local Arrangement Co-Chairs Bassem Alhalabi , Florida Atlantic University, USA Ankur Agarwal , Florida Atlantic University, USA

Finance Chair Xingquan (Hill) Zhu , University of Technology, Sydney, Australia

Publication/Proceeding Chair Ionut Cardei, Florida Atlantic University , USA

Publicity Co-Chairs Peng Zhang, Texas State University - San Marcos, USA Bin Li , University of Technology Sydney, Australia

Webmaster Wenyu Zang, Chinese Academy of Sciences, China

Award Committee

Nikolaos Bourbakis , Wright State Univrsity, USA Wei Fan, IBM Research, USA Eric Gregoire, CRIL Université d'Artois, France Taghi M. Khoshgoftaar , Florida Atlantic University, USA Benjamin W. Wah, The Chinese University of Hong Kong, China Hui Xiong, Rutgers, USA Osmar R. Zaiane, University of Alberta, Canada Xingquan (Hill) Zhu, University of Technology, Sydney, Australia Sotirios G. Ziavras, NJIT, USA

ICTAI Steering Committee Nikolaos Bourbakis , Wright State U, USA (Chair) Chittoor V. Ramamoorthy , UC Berkeley, USA Jeffrey Tsai , UIL-Chicago, USA Benjamin W. Wah, UIUC, USA Farokh B. Bastani , UT-Dallas, USA Soon Chung , WSU, USADespina Kavraki, AIIS, USA Ioannis Hatzilygeroudis, University of Patras, Greece

Program Committee Co-Chairs Taghi M. Khoshgoftaar , Florida Atlantic University, USA Xingquan (Hill) Zhu , University of Technology, Sydney, Australia

Area Chairs

Jin-Kao Hao University of Angers France Nobuhiro Inuzuka Nagoya Institute of Technology Japan Vasile Palade University of Oxford UK Jian Pei Simon Fraser University Canada Luigi Portinale University of Piemonte Orientale Italy Dacheng Tao University of Technology, Sydney Australia Hui Xiong Rutgers USA Du Zhang California State University, Sacramento USA Sotirios Ziavras New Jersey Institute of Technology USA Zhi-Hua Zhou Nanjing University China

Program Committee Members

Aijun An York University Canada Charles Anderson Colorado State University USA John Anderson University of Manitoba Canada Iman Attarzadeh University of Malaysia Malaysia James Bailey The University of Melbourne Australia Philippe Besnard CNRS / IRIT France Wei Bian Nanyang Technological University Singapore Mihai Boicu George Mason University USA Gianluca Bontempi Université Libre de Bruxelles Belgium Nizar Bouguila Concordia University Canada Harry Bunt Tilburg University Netherlands Longbing Cao Universith Technology, Sydney Australia Andrea Carbone ISIR/UPMC (Paris) France Philip Chan Florida Institute of Technology USA Philippe Chatalic Univ. Paris- INRIA Saclay France Sanjay Chawla Sydney University Australia Ling Chen Universith Technology, Sydney Australia Keke Chen Wright State University USA Mark Clement Brigham Young University USA Nicolae Constantin Politehnica University Romania Aaron Crandall Washington State University USA Alfredo Cuzzocrea University of Calabria Italy Belen Diaz-Agudo Universidad Complutense de Madrid Spain Scott Dick University of Alberta Canada Wei Ding University of Massachusetts Boston USA Prabu Dorairaj NetApp Inc (USA) India

Eliza Yingzi Indiana University-Purdue University Indianapolis

USA

Yi Fang Purdue University USA Jose Augusto Andrade Filho ICMC/USP Brazil Germain Forestier INRIA/INSERM/CNRS/U. de Rennes I France Kehan Gao Eastern Connecticut State University USA François Goasdoué Université Paris-Sud & INRIA Saclay France

Youssef Hamadi Microsoft Research United Kingdom

Ioannis Hatzilygeroudis University of Patras Greece Vasant Honavar Iowa State University USA Jun Huan University of Kansas USA Kun Huang The Ohio State University USA Jason Van Hulse Florida Atlantic University USA

Stephan Hutterer University of Applied Sciences Upper Austria Austria Nobuhiro Inuzuka Nagoya Institute of Technology Japan Thomas Ioerger Texas A&M University USA Naohiro Ishii Aichi Institute of Technology Japan Yuji Iwahori Chubu University Japan Shen Jialie Singapore Management University Singapore Wei Jin North Dakota State University USA Jose Juarez University of Murcia Spain Daniel Kayser L.I.P.N. Universit Paris-Nord France Latifur Khan The University of Texas at Dallas USA Yong Seog Kim Utah State University USA Jean Charles Lamirel INRIA-LORIA / University of Strasbourg France Helge Langseth Norwegian University of Science and Technology Norway Alina Lazar Youngstown State University USA Giorgio Leonardi Università di Pavia Italy Carson K. Leung University of Manitoba Canada Sanjiang Li Universith Technology, Sydney Australia Qi Li Western Kentucky University USA Bin Li Universith Technology, Sydney Australia Yanjun Li Fordham University USA Jiuyong Li University of South Australia Australia Tao Li Florida International University USA Wujun Li Shanghai Jiao Tong University China Xiaoou Li CNVESTAV-IPN Mexico Senlin Liang Stony Brook University USA Huan Liu Arizona State University USA Qingshan Liu Rutgers USA Xinhai Liu Katholieke Universiteit Leuven Belgium Daniel Lopresti Lehigh University USA Zhenyu Lu University of Vermont USA Congnan Luo Teradata USA Feng Luo Clemson University USA Yunxiao Ma Microsoft Research Asia China Tony Martinez Brigham Young University USA Bertrand Mazure CRIL – CNRS France Stefania Montani University Piemonte Orientale Italy Gianluca Mura Politecnico di Milano University Italy Radhakrishnan Nagarajan University of Arkansas for Medical Sciences USA Tsuyoshi Nakamura Nagoya Institute of Technology Japan

Daniel Neagu University of Bradford United Kingdom

See-Kiong Ng Singapore University of Technology and Design (SUTD)

Sinpagore

Mitsunori Ogihara University of Miami USA Vasile Palade University of Oxford UK Weike Pan HKUST China Jun Peng Chongqing University of Science and Technology China Cédric Piette CRIL – CNRS France Selwyn Piramuthu University of Florida USA Henri Prade IRIT – CNRS France Guangzhi Qu Oakland University USA Parisa Rashidi Washington State University USA Chandan Reddy Wayne State University USA Marek Reformat University of Alberta Canada Chellali Ryad Italian Institute of Technology (IIT) Italy Ashish Sabharwal IBM Research USA Lakhdar Sais Université Lille Nord de France France Abdolhossein Sarrafzadeh Unitec Institute of Technology New Zealand Andrea Schaerf University of Udine Italy Torsten Schaub University of Potsdam Germany Vince Schmidt USA Air Force Research Laborarory USA Jianqiang Shen Pearson USA

Jinqiao Shi Chinese Academy of Sciences China John Sloan Florida Atlantic University USA Donald Sofge Naval Research Laboratory USA

Marina Sokolova University of Ottawa and CHEO Research Institute

Canada

Yangqiu Song Microsoft Research Asia China Thomas Stützle Universit&eacute Libre de Bruxelles Belgium Andreas-Georgios Stafylopatis National Technical University of Athens Greece Thomas Stuetzle Université Libre de Bruxelles (ULB) Belgium Xiaoyuan Su Varolii Corporation USA Zhengya Sun Chinese Academy of Sciences China Jun Suzuki University of Massachusetts Boston USA Jie Tang Tsinghua University China Alexandre Termier Université Grenoble France Miguel Garcia-Torres Universidad Pablo de Olavide Spain Vincent Tseng National Cheng Kung University Taiwan Yicheng Tu University of South Florida USA Douglas Vieira ENACOM – Handcrafted technologies Brazil Brazil Toby Walsh NICTA and UNSW Australia Shuliang Wang Wuhan University China Dianhui Wang La Trobe University Australia Haofen Wang Shanghai Jiao Tong University China Huanjing Wang Western Kentucky University USA Peng Wang Southeast University China Hao Wu Kodak USA Junjie Wu Beihang University China Changjiu Xian Microsoft USA Yang Xiang The Ohio State University USA Tao Xiong Paypal USA Ke Xu Microsoft USA Pingkun Yan Philips Research USA Liu Yong Zhejiang University China Peng Yu Massachusetts Institute of Technology USA Yang Yu Nanjing University China Lijun Zhang Emory University Atlanta Min-Ling Zhang Southeast University China Chengcui Zhang The University of Alabama at Birmingham USA Peng Zhang Chinese Academy of Sciences China Daoqiang Zhang Nanjing University China Huaifeng Zhang Centrelink Australia Yan Zhang Vermont Information Processing USA Mi Zhang Fudan University China Yanchang Zhao RDataMining.com Australia

Huiyu Zhou Queen’s University Belfast United Kingdom

Bin Zhou Simon Fraser Unviersity Canada Shuigeng Zhou Fudan University China Tianyi Zhou Nanyang Technological University Singapore Djamel A. Zighed ERIC, University of Lyon 2 France

Documents

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