14 th International Conference on Machine Learning … · Makato Haraguchi.....Hokkaido University of Sapporo, Japan Dimitris Karras ... 2:05 - 2:25 pm Automated Identification of

World Congress 2018 www.worldcongressdsa.com

The Frontiers in Intelligent Data

and Signal Analysis

New York, USA July 7 - 19, 2018

14th International Conference on

Machine Learning and Data Mining MLDM 2018

July 14 – 19, 2018

www.mldm.de

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Preface The fourteenth event of the International Conference on

Machine Learning and Data Mining MLDM 2018 was held in New York (www.mldm.de) running under the umbrella of the World Congress “The Frontiers in Intelligent Data and Signal Analysis, DSA2017” (www.worldcongressdsa.com).

After the peer-review process, we accepted 86 high-quality papers for oral presentation. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data-mining methods for the different multimedia data types such as image mining, text mining, video mining, and Web mining. Extended versions of selected papers will appear in the international journal Transactions on Machine Learning and Data Mining (www.ibai-publishing.org/journal/mldm).

The tutorial days rounded up the high quality of the conference. Researchers and practicioners got an excellent insight in the research and technology of the respective fields, the new trends and the open research problems that we like to study further.

A tutorial on Data Mining, a tutorial on Case-Based Reasoning, a tutorial on Intel-ligent Image Interpretation and Computer Vision in Medicine, Biotechnology, Chemistry and Food Industry, and a tutorial on Standardization in Immunofluorescence were held before the conference.

We would like to thank all reviewers for their highly professional work and their effort in reviewing the papers. We would also thank the members of Institute of Applied Computer Sciences, Leipzig, Germany (www.ibai-institut.de), who handled the conference as secretariat. We appreciate the help and understanding of the editorial staff at Springer, and in particular Alfred Hofmann, who supported the publication of these proceedings in the LNAI series.

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Last, but not least, we wish to thank all the speakers and

participants who contributed to the success of the conference. See you in 2019 in New York at the next World Congress (www.worldcongressdsa.com) on “The Frontiers in Intelligent Data and Signal Analysis, DSA2018”, which combines under its roof the following three events: International Conferences on Machine Learning and Data Mining, MLDM (www.mldm.de), the Industrial Conference on Data Mining, ICDM (www.data-mining-forum.de), and the International Conference on Mass Data Analysis of Signals and Images in Medicine, Biometry, Drug Discovery Biotechnology, Chemistry and Food Industry, MDA.

July 2018 Petra Perner

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14th International Conference on Machine Learning and Data Mining – MLDM 2018

www.mldm.de

Program Chair

Petra Perner ....................................... IBaI Leipzig, Germany

Program Committee

Sergey Ablameyko ........................... Belarus State University, Belarus

Reneta Barneva .................................. The State University of New York at Fredonia, USA

Michelangelo Ceci ............................ Universtiy of Bari, Italy

Patrick Bouthemy .............................. INRIA VISTA, France

Xiaoqing Ding ..................................... Tsinghua University, China

Christoph F. Eick ................................ Universtiy of Houston, USA

Ana Fred ................................................ Technical University of Lisboa, Portugal

Giorgio Giacinto ................................ University of Cagliari, Italy

Makato Haraguchi ............................ Hokkaido University of Sapporo, Japan

Dimitris Karras .................................... Chalkis Institute of Technology, Greece

Adam Krzyzak ..................................... Concordia University, Canada

Thang V. Pham ................................... University of Amsterdam, The Netherlands

Linda Shapiro ...................................... University of Washington, USA

Tamas Sziranyi .................................... MTA-SZTAKI, Hungary

Francis E.H. Tay .................................. National University of Singapore, Singapore

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Alexander Ulanov .............................. HP Labs, Russia

Zeev Volkovich ................................... ORT Braude College of Engineering, Israel

Patrick Wang ....................................... Northeastern University, USA

Additional Reviewers

Mohammad Daneshzand .............. University of Bridgeport, UK

Yong Jin ................................................. Wuhan FiberHome Potevio IT Ltd. China

Walid Atwa ........................................... Walid Atwa, Egypt

Soheila Abrishamin .......................... lorida State University, USA

Piyush Kumar ...................................... Florida State University, USA

Aminata Kane ..................................... Concordia University, Canada

Yunlong Wang ................................... University of Minnesota, USA

Huan Huo ............................................. University of Shanghai for Science and Technology, P.R.China

Terrence Fries ..................................... Indiana University of Pennsylvania, USA

Carlos Escobar .................................... General Motors/Tecnológico de Monterrey, USA

Olga Krasotkina ................................. Tula State University, Russia

Juliane Perner ..................................... Cancer Research Cambridge, UK

Jason Wang ........................................ New Jersey Institute of Technology, USA

Turki Turki ........................................... King Abdulaziz University, Saudi Arabia

Mohamed Bouguessa ..................... University du Quebec a Montreal, Canada

Anit Bhandari ...................................... University Hospital Schleswig-Holstein, Germany

Carolina Carvalho .............................. Fluminense Federal University, RJ - Brazil

Rekar Mohammed ............................ Salahaddin University-Erbil, Iraq

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Francky Fouedjio ............................... Stanford University, USA

Vahid Behzadan ................................. Kansas State University, USA

Evgeny Burnaev, ............................... Skolkovo Institute of Science and Technology, Russia

Alexander Bernstein, ...................... Skolkovo Institute of Science and Technology, Russia

Dymitr Ruta.......................................... Bournemouth University, UK

Dan Simovici ....................................... University of Massachussets Boston, USA

Zeev Volkovich ................................... ORT Braude College, Israel

Markus Vattulainen .......................... University of Tampere, Finland

Xiaobing Liu......................................... Oklahoma State University, USA

Lumin Zhang ....................................... Max-Plank-Institute for Intelligent Systems, Germany

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Instructions for Presentations Dear Author, Please note: Presentation time for long paper will be 20 Minutes. 15 Minutes for the talk and 5 minutes for discussion. A beamer will be available. Please bring your presentation on stick. Please make sure that you will be available the whole conference. We will freely change the schedule since we have to expect that some people will not get their visa for whatever reasons. We are working hard to support those people but sometimes you cannot do anything. That means we will put available people to the free slots. The sessions do not have a thematic arrangements. We have found out over time that this is more preferable since running one session on the same subject can get sometimes a bit exhaustive. People also like to get to know about subjects they are not working on so that they get a good overview about the topic of the conference. For the poster presenters. You will put your poster on the wall of the room- Sticks are available. Please do it when you arrive and leave the poster on the wall until you leave. Each poster presenter should be prepared for a 5 minutes summarization of his work. I will step with the audience from poster to poster. After all posters have been visited you can start with a personal discussion of interested people. The poster should be 90x90 cm. I wish us an inspiring and fruitful conference. Best regards, Prof. Dr. Petra Perner Chair of MLDM

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Publication 2018

Online (URL will be given during conference! Note you can download the book for 4 weeks! After the 4 weeks ithe account will be closed. You cannot access the account anymore unless your university does not have an account.)

Title: Machine Learning and Data Mining in Pattern Recognition Subtitle: 14th International Conference, MLDM 2018, New York, NY, USA, July 14-19, 2018, Proceedings, Part I/II The reference lines on the first page of each paper will look as follows: © Springer International Publishing AG, part of Springer Nature, 2018 P. Perner (Ed.): MLDM 2018, Part I, LNAI 10934, pp. X–XY, 2018. and © Springer International Publishing AG, part of Springer Nature, 2018 P. Perner (Ed.): MLDM 2018, Part II, LNAI 10935, pp. X–XY, 2018.

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MLDM 2018 – Program

Monday, July 16, 2018 – First Conference Day

8:00 - 9:00 am Registration

9:00 - 9:15 am Welcome Petra Perner

9:15 – 10:00 am Invited Talk Session Chair: Petra Perner

Cognition-Based Machine Learning Prof. Piet Kommers, Professor of UNESCO

Learning Technologies

1st Session Session Chair: Vadim Mottl

10:00 - 10:20 am MaxMin Linear Initialization for Fuzzy C-Means Aybüke Öztürk, Stephane Lallich, Jerome

Darmont, and Sylvie Yona Waksman, Université de Lyon, Lyon 2, France

10:20 – 10:40 am Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis

Valentina Sulimova, Alexander Zhukov, Olga Krasotkina, Vadim Mottl, Anatoly Markov, Tula State University, Markov Processes International, Summit, USA, Computing Center of the Russian Academy of Sciences, Russia 5 Radioavionica corporation, Russia

10:40 - 11:00 am Social Media Sentiment Analysis Based on Domain Ontology and Semantic Mining

Daoping Wang and Liangyue Xu and Amjad Younas, University of Science & Technology Beijing, China

11:00 - 11:15 am Coffee Break

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2nd Session Session Chair: Olga Krasotkina

11:15 - 11:35 am Mining Associations in Large Graphs for Dynamically Incremented Marked Nodes

Anshul Rai, Zackary Crosley, Srivignessh Pacham, Sri Srinivasan Arizona State University, USA

11:35 - 11:55 am A New Global Foreground Modeling and Local Background Modeling Method for Video Analysis

Hang Shi and Chengjun Liu ? New Jersey Institute of Technology, USA

11:55 - 12:15 pm A Deep Learning Based Automatic Severity Detector for Diabetic Retinopathy

Rawan AlSaad, Somaya Al-maadeed, Md. Abdullah Al Mamun, and Sabri Boughorbel Sidra Medicine, Qatar, Qatar University, Qatar

12:15 - 1:15 pm Lunch

3rd Session Session Chair: Hakan Altıncay

1:15 - 1:45 pm Compact Representation of Documents Using Terms and Termsets

Dima Badawi and Hakan Altıncay, Palestine Technical University, Palestine, Eastern Mediterranean University, North Cyprus

1:45 - 2:05 pm PATENet: Pairwise Alignment of Time Evolving Networks

Shlomit Gur and Vasant G. Honavar, Pennsylvania State University, USA

2:05 - 2:25 pm Automated Identification of Potential Conflict-of-Interest in Biomedical Articles Using Hybrid Deep Neural Network

Incheol Kim and George R. Thoma, Communications National Library of Medicine, USA

2:25 - 2:40 pm Coffee Break

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4th Session Session Chair: Noha S. Tawfik

2:40 - 2:55 pm Hierarchical Bayesian Classifier Combination Mohammad Ghasemi Hamed and Ahmad

Akbari, Iran University of Science & Technology, Iran

2:55 - 3:15 pm Optimizing Support Vector Regression with Swarm Intelligence for Estimating the Concrete Compression Strength

Manoel Alves de Almeida Neto, Roberta de Andrade de A. Fagundes, Carmelo J. A. Bastos-Filho, University of Pernambuco, Brazil

3:15 - 3:35 pm Automated Contradiction Detection in Biomedical Literature

Noha S. Tawfik and Marco R. Spruit, Arab Academy for Science, Technology, and Maritime Transport (AAST), Egypt, Utrecht University, The Netherlands

3:35 - 3:50 pm Break

5th Session Session Chair: Matthias J. Feiler

3:50 - 4:05 pm Following the Common Thread through Word Hierarchies,

Matthias J. Feiler University of Zurich, Switzerland

4:05 - 4:25 pm Document Clustering Using Local and Universal Knowledge

Kazem Qazanfari and Abdou Youssef, The George Washington University, USA

4:25 - 4:40 pm Tweet Classification Using Sentiment Analysis Features and TF-IDF Weighting for Improved Flu Trend Detection

Ali Alessa and Miad Faezipour, University of Bridgeport, USA

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4:40 - 4:55 pm Break

6th Session Session Chair: Ali Alessa

4:55 - 5:15 pm Adaptive Adjacency Kanerva Coding for Memory-Constrained Reinforcement Learning

Wei Li and Waleed Meleis, Northeastern University, USA

5:15 - 5:35 pm Predicting Drug Target Interactions Based on GBDT

Jiyun Chen, Jihong Wang, Xiaodan Wang, Yingyi Du, and Huiyou Chang, Sun Yat-sen University, China

5:35 - 5:50 pm From Black-Box to White-Box: Interpretable Learning with Kernel Machines

Hao Zhang, Shinji Nakadai, and Kenji Fukumizu, NEC Corporation, Japan, The Institute of Statistical Mathematics, Japan

5:50 pm End of First Conference Day

6:00 – 9:00 pm Banquet and Music

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Tuesday, July 17, 2018 – Second Conference Day

8:30 - 9:00 am Registration

7th Session Session Chair: David Vengerov

9:00 - 9:20 am A Two-List Framework for Accurate Detection of Frequent Items in Data Streams

David Vengerov, Oracle Labs, USA

9:20 - 9:40 am Evaluating Frequent-set Mining Approaches in Machine-Learning Problems with Several Attributes: A Case Study in Healthcare

Shruti Kaushik, Abhinav Choudhury, Nataraj Dasgupta, Sayee Natarajan, Larry A. Pickett, and Varun Dutt, Indian Institute of Technology Mandi, India, RxDataScience, Inc., USA

9:40 - 10:00 am A COMPARATIVE STUDY TO THE BANK MARKET PREDICTION

Dr. Soumadip Ghosh, Arnab Hazra, Bikramjit Choudhury, Payel Biswas and Dr. Amitava Nag, Academy of Technology, INDIA. Central Institute of Technology, INDIA. Jogesh Chandra Chaudhuri College, INDIA


8th Session Session Chair: Douglas A. Talbert

10:15 - 10:35 am Deep metric learning for sequential data using approximate information

Stefan Thaler, Vlado Menkovski and Milan Petkovic, Technical University of Eindhoven, The Netherlands, Philips Research Laboratories, The Netherlands

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10:35 - 10:55 am Machine Learning Applied to Point-Of-Sale Fraud Detection

Christine Hines, Abdou Youssef, George Washington University, USA

10:55 - 11:15 am Prefix and Suffix Sequential Pattern Mining Rina Singh, Jeffrey A. Graves, Douglas A. Talbert,

and William Eberle, Tennessee Technological University, USA

11:15 - 11:30 am Break

9th Session Session Chair: Turki Turki

11:30 - 11:50 am Long Short-Term Memory Recurrent Neural Network for Stroke Prediction

Pattanapong Chantamit-o-pas and Madhu Goyal, University of Technology Sydney, Australia, King Mongkut’s Institute of Technology Ladkrabang, Thailand

11:50 - 12:10 pm Adversarial Machine Learning: A Literature Review

Sam Thomas and Nasseh Tabrizi, East Carolina University, USA

12:10 - 12:30 pm Reverse Engineering Gene Regulatory Networks Using Graph Mining

Haodi Jiang, Turki Turki, Sen Zhang and Jason T. L. Wang, University Heights, USA, 2 King Abdulaziz, Saudi Arabia, State University of New York (SUNY) USA

12:30 - 1:30 pm Lunch and Poster Presentations

Poster Presentations

Ensemble of Heterogeneous Regressors Applied to Forecasting in Cosmetics Industry

Leandro dos Santos Coelho, Viviana Cocco Mariani, Frederico Gonzalez Colombo Arnoldi, Donald Neumann

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Echo State Network Optimized by Cross-Entropy for Short-Term Load Forecasting of a Large Power Plant

Gabriel Trierweiler Ribeiro, Flavia Bernardo Pinto,Viviana Cocco Mariani, Leandro dos Santos Coelho

10th Session Session Chair: Sam Thomas

1:30 - 1:50 pm Spammer Detection via Combined Neural Network

Weiping Pei, Youye Xie, and Gongguo Tang, Biliang, Ltd., Zhuhai, China, Colorado School of Mines, USA

1:50 - 2:10 pm Pedestrian Detection: Performance Comparison Using Multiple Convolutional Neural Networks

Meenu Ajith and Aswathy Rajendra Kurup, University of New Mexico, USA

2:10 – 2:30 pm Automated Machine Learning Algorithm Mining for Classification Problem

Meng-Sung Wu, Jun-Yi Lu, Industrial Technology Research Institute, Taiwan, National Chiao Tung University, Hsinchu, Taiwan


11th Session Session Chair: Xiaochun Wang

2:45 - 4:05 pm Enhancing Outlier Detection by An Outlier Indicator

Xiaqiong Li, Xiaochun Wang, Xia Li Wang, Xi’an Jiaotong University, China, Changan Univeristy, CHINA

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4:05 - 4:25 pm A Semi-Supervised Approach to Discover Bivariate Causality in Large Biological Data

Nataliya Sokolovska, Olga Permiakova, Sofia K. Forslund, and Jean-Daniel Zucker, Sorbonne University, France, University Grenoble Alpes, France, Experimental and Clinical Research Center, a cooperation of Charit´e-Universitätsmedizin Berlin and Max Delbruck Center for Molecular Medicine in Cooperation with Helmholtz Institute, Germany, Charite-Universitätsmedizin Berlin, corporate member of Freie Universität, Germany, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany, Germany European Molecular Biology Laboratory, Germany, INSERM, France

4:25 - 4:45 pm Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization

Nataliya Sokolovska, Yann Chevaleyre, and Jean-Daniel Zucker, Paris Sorbonne University, France, University Paris Dauphine, France, INSERM, France

4:45 - 5:00 pm Break

We will arrange some sandwiches so that we are strengthen until the end of the conference.

12th Session Session Chair: Nataliya Sokolovska

5:00 - 5:20 pm A New Approach for Tuned Clustering Analysis Roni Ben Ishay, Maya Herman, Chaim Yosefi,

The Open University of Israel, Israel, Ben-Gurion University, Israel

5:20 - 5:40 pm Fusing Dimension Reduction and Classification for Mining Interesting Frequent Patterns in Patients Data

Catherine Inibhunu and Carolyn McGregor, University of Ontario Institute of Technology, Canada, University of Technology Sydney, Australia

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5:40 - 6:00 pm Memory Efficient Frequent Itemset Mining Nima Shahbazi, Rohollah Soltani, and Jarek

Gryz, University, Canada

6:00 - 6:15 pm Break

13th Session Session Chair: Zeev Volkovich

6:15 - 6:35 pm Fuzzy Networks Model, a Reliable Adoption in Corporations

John Velandia1, Gustavo Pérez1, Holman Bolivar1, Universidad Católica de Colombia, Colombia

6:35 - 6:55 pm Detection of computer-generated papers using One-Class SVM and cluster approaches

Renata Avros and Zeev Volkovich, ORT Braude College, Israel

6:55 - 7:15 pm Understanding Customers and Their Grouping via WiFi Sensing for Business Revenue Forecasting

Vahid Golderzahl and Hsing-Kuo Pao, National Taiwan University of Science and Technology, Taiwan

7:15 pm End of Second Conference Day

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Wednesday, July 18, 2018 – Third Conference Day

14th Session Session Chair: Semih Dinc

9:00 - 9:20 am Evaluation of Hybrid Classification Approaches: Case Studies on Credit Datasets

Erkan Cetiner, Vehbi Cagri Gungor and Taskin Kocak, Bahcesehir University, Turkey, Abdullah Gul University, Turkey, Bahcesehir University, Turkey

9:20 - 9:40 am An Efficient Two-Layer Classification Approach for Hyperspectral Images

Semih Dinc, Babak Rahbarinia, and Luis Cueva-Parra, Auburn University at Montgomery, USA

9:40 - 10:00 am Predicting social unrest using GDELT Divyanshi Galla and James Burke,

PWC Inc., USA


15th Session Session Chair: Giorgio Giacinto

10:15 - 10:35 am Ten years of Relevance Score for Content Based Image Retrieval

Lorenzo Putzu, Luca Piras and Giorgio Giacinto, Pluribus One, Italy, University of Cagliari, Italy

10:35 - 10:55 am When Different is Wrong: Visual Unsupervised Validation for Web Information Extraction

Benoit Potvin and Roger Villemaire, Universite du Quebec a Montreal, Canada

10:55 - 11:15 am An Efficient Approximate EMST Algorithm for Color Image Segmentation

Xia Li Wang, Xiaochun Wang, Changan Univeristy, CHINA, Xi’an Jiaotong University, CHINA

11:15 - 11:30 am Break

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16th Session Session Chair: Bernhard Gahr

11:30 - 11:50 am Personalized Blended E-learning System using knowledge base approach based on Information Processing Speed Cognitive

Qumar Ibrahim, Md. Tanwir Uddin Haider, National Institute of Technology Patna, India

11:50 - 12:10 pm A Tag2Vec approach for questions tag suggestion on Community Question Answering sites

Pradeep Kumar Roy and Jyoti Prakash Singh, National Institute of Technology Patna, India

12:10 - 12:30 pm A Crowd Sensing Approach to Video Classification of Traffic Accident Hotspots

Bernhard Gahr, Benjamin Ryder, Andre Dahlinger, and Felix Wortmann, University of St. Gallen, Switzerland

12:30 - 1:30 pm Lunch

17th Session Session Chair: Prabhat Kumar

1:30 - 1:50 pm Spam Review Detection Using Ensemble Machine Learning

Shwet Mani, Sneha Kumari, Ayushi Jain and Prabhat Kumar, National Institute of Technology Patna, India

1:50 - 2:10 pm Automatic Keyphrase Extraction Using Recurrent Neural Networks

Johannes Villmow, Marco Wrzalik, and Dirk Krechel, RheinMain University of Applied Sciences, Germany

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2:10 - 2:30 pm The Wild Bootstrap Resampling in Regression Imputation Algorithm with a Gaussian Mixture Model

Aisyah Mat Jasin, Daniel Neagu and Attila Csenki, University of Bradford, UK


18th Session Session Chair: A.V. Bernstein

2:45 - 4:05 pm Association Rule Mining in Fuzzy Political Donor Communities

Scott Wahl and John Sheppard, Montana State University, USA

4:05 - 4:25 pm Educational Data Mining: An Application of Regressors in Predicting School Dropout

Rafaella Leandra Souza do Nascimento, Ricardo Batista das Neves Junior, Manoel Alves de Almeida Neto, and Roberta Andrade de Arau´jo Fagundes, University of Pernambuco, Brazil

4:25 - 4:45 pm Reinforcement Learning for Computer Vision and Robot Navigation

A.V. Bernstein, E.V. Burnaev, and O.N. Kachan, Skolkovo Institute of Science and Technology, Russia

4:45 - 5:00 pm Break

We will arrange some sandwiches so that we go strengthen up into the final trial of this day.

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19th Session Session Chair: Xiaochun Wang

5:00 - 5:20 pm A Fast Two-Level Approximate Euclidean Minimum Spanning Tree Algorithm for High-dimensional Data

Xia Li Wang, Xiaochun Wang, Xiaqiong Li, Changan University, CHINA, Xi’an Jiaotong University, CHINA

5:20 - 5:40 am Rule Induction Partitioning Estimator A New Deterministic Algorithm for Data Dependent Partitioning Estimate

Vincent Margot, Jean-Patrick Baudry Frederic Guilloux, and Olivier Wintenberger, Sorbonne Universit´es, France

5:40 - 6:00 pm A CNN Based Transfer Learning Model for Automatic Activity Recognition from Accelerometer Sensors

Belkacem Chikhaoui, Frank Gouineau, Martin Sotir, TELUQ University, Computer Research Institute of Montreal, Canada

6:00 – 7:00 Poster Presentations

7:00 pm End of Third Conference Day

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Thursday, July 19, 2018 – Fourth Conference Day

20th Session Session Chair: Sayan Unankard

9:00 - 9:20 am A Mixture of Personalized Experts for Human Affect Estimation

Michael Feffer, Ognjen (Oggi) Rudovic, and Rosalind W. Picard, MIT Media Lab, USA

9:20 - 9:40 am Learning to Rank and Discover for E-commerce Search

Anjan Goswami and Chengxiang Zhai and Prasant Mohapatra, University of California, USA, University of Illinois, USA

9:40 - 10:00 am Prediction of Re-tweeting Activities in Social Networks Based on Event Popularity and User Connectivity

Sayan Unankard, Maejo University, Thailand


21st Session Session Chair: Milan Cisty

10:15 - 10:35 am A Hybrid Neural Machine Translation Technique for Translating Low Resource Languages

Ebtesam H Almansor, Ahmed Al-Ani, University of Technology Sydney, Australia, Community College, Saudi Arabia

10:35 - 10:55 am Flow Prediction Versus Flow Simulation Using Machine Learning Algorithms

Milan Cisty and Veronika Soldanova, Slovak University of Technology in Bratislava, Slovakia

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10:55 - 11:15 am A Method of Biomedical Knowledge Discovery by Literature Mining Based on SPO Predications: A Case Study of Induced Pluripotent Stem Cells

Zheng-Yin Hu, Rong-Qiang Zeng, Xiao-Chu Qin, Ling Wei, and Zhiqiang Zhang, Chinese Academy of Sciences, P. R. China, Southwest Jiaotong University, P. R. China

11:15 - 11:30 am Break

22nd Session Session Chair: Olga Krasotkina

11:30 - 11:50 am Large-scale targeted marketing by supervised PageRank with seeds

Zhiwei (Tony) Qin, Chengxiang Zhuo, Wei Tan, Jun Xie, and Jieping Ye, DiDi Research America, USA, DiDi Research, China

11:50 – 12:10 pm Constrained Regularized Regression Model Search in Large Sets of Regressors

Olga Krasotkina, Michael Markov, Vadim Mottl, Ilya Pugach, Dmitry Babichev, Alexey Morozov

12:10 - 12:30 pm Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons

Fernando Arce, Erik Zamora, Gerardo Hernandez, Javier M. Antelis and Humberto Sossa

12:30 - 1:30 pm Lunch

23rd Session Session Chair: Jatin Bedi

1:30 - 1:50 pm Finding active expert users for question routing in Community Question Answering sites

Pradeep Kumar Roy, Jyoti Prakash Singh, and Amitava Nag

1:50 - 2:10 pm Parallel Framework for Unsupervised Classification of Seismic Facies

Jatin Bedi and Durga Toshniwal

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2:10 - 2:30 pm Echo State Network Optimized by Cross-Entropy for Short-Term Load Forecasting of a Large Power Plant

Gabriel Trierweiler Ribeiro, Flavia Bernardo Pinto,Viviana Cocco Mariani, Leandro dos Santos Coelho


24th Session Session Chair:

2:45 - 3:05 pm Segmenting Biosignals using Hierarchical Clustering

David Yuan, Vangelis Metsis

3:05 - 3:25 pm Evaluation of Community Structure Finding Algorithms on Social Network Data Sets

Abdul Qadar Kara, Harun Pirim

3:25 - 3:45 pm Storytelling with signal injection: focusing stories with domain knowledge

John Rigsby and Daniel Barbará

3:45 – 4:00 pm Break

4:00 - 4:20 pm Effective Mechanism of Mapping Labels in Financial Tables using Machine Learning

Yan Chen, Agrima Srivastava and Dakshina Murthy Malladi

4:20 - 4:40 pm Ensemble of Heterogeneous Regressors Applied to Forecasting in Cosmetics Industry

Leandro dos Santos Coelho, Viviana Cocco Mariani, Frederico Gonzalez Colombo Arnoldi, Donald Neumann

4:40 - 5:00 pm Fault Diagnosis of Transformers using Machine Learning Technique: An Application of Support Vector Machine

Dam Lam, Luis Cuevas, Bijoy Chattopadhyay

5:00 – 5:15 pm Fairwell

5:15 pm End of Fourth Conference Day

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MLDM 2018 – Tutorials

Saturday, July 14, 2018

9:00 am – 5:00 pm Case-Based Reasoning Prof. Dr. Petra Perner

Sunday, July 15, 2018

9:00 am – 5:00 pm Data Mining Prof. Dr. Petra Perner

Thursday, July 19, 2018

9:00 am – 3:00 pm Intelligent Image Processing Prof. Dr. Petra Perner

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Announcement for Publication in the Special Issue of the Intern. Journal Transaction on Machine Learning and Data Mining (http://www.ibai-publishing.org/journal/mldm/about.php)

Dear Authors, You are cordially invited to submit a revised version of your paper to the Intern. Journal Transaction on Machine Learning and Data Mining of the October 2018 Issue. Researchers, who are interested to submit their paper, should submit it until September 1st, 2018. Papers who arrive later will not be considered for the October issue. They can be published if accepted in the July 2019 issue. I am looking forward to your excellent contributions. Best regards, Prof. Dr. Petra Perner Editor of Trans on MLDM

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Announcement 2019 Dear Participants and Authors, We hope to see you again in 2019. Please come and join us for the 19th International Conference on Machine Leanring and Data Mining MLDM 2019. For the latest news please visit www.mldm.de or go to www.worldcongressdsa.com. I am looking forward to see you all again. Thank you for choosing MLDM 2018. Sincerely yours, Prof. Dr. Petra Perner Chair of MLDM and Head of the Machine Learning and Data Mining Community

15th International Conference on Machine Learning and Data Mining MLDM 2019 July 13-18, 2019

Tutorial Days

July 13, 2018 Case-Based Reasoning and

July 14, 2018 Data Mining http://www.data-mining-forum.de/tutorials.php

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A Note on the Citation Policy or How to strengthen up the Conference and Your Own Work! Dear Author,

to ensure that the proceedings and a particular paper from the proceedings is properly cited, we would highly recommend that you follow the citation style given below. If you do not properly follow the citation style given below you might risk that your paper or any of the other papers is not properly recognized by the citation index. Thank you for taking care of this important issue. Kind regards, Prof. Dr. Petra Perner Chair of the Conference Recommended Citation Style of the Proceedings and the Papers

Perner, P. (Ed.) ICDM2006, lnai, vol. 4065, Springer, Heidelberg (2006) A particular paper: Schmidt, R., Waligora, T.: Using Prototypes and Adaption Rules for Diagnosis of Dysmorphic Syndromes. In: Perner, P. (Ed.) ICDM2006, lnai, vol. 4065, pp. 1-10, Springer, Heidelberg (2006) Example for Poster Proceedings: Chua, S., Coenen, F.: Rule Learning with Negation for Text Classification. In: Perner, P. (Ed.) MLDM2011, Poster Proceedings, pp. 1-14, ibai-publishing, Fockendorf, ISBN 978-3-942952-03-3 (2011) Example for Workshop Proceedings: Bobrowski, L.: Class Separating Measures of Similarity for the CBR Scheme. In: Bichindaritz, I., Perner, P., Ruß, G., Schmidt, R., Perner, P. (Eds.) ICDM2012, Workshop Proceedings, pp. 5-19, ibai-publishing, Fockendorf, ISBN 978-3-942952-16-3 (2012) Example for Journal: Giacinto, G.: Moving Targets in Computer Security and Multimedia Retrieval. Transactions on Machine Learning and Data Mining 4(1), 30-52, ISSN 1865-6781 (2011)

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A Note on Citation Policy or How to strengthen up the Conference and Your Own Work! As you might know, the value of a publication, a conference or a workshop is judged based on the citation rate. American publications and conferences are highly ranked based on this statistical measure. American publishers make sure that people accept this policy and publish papers that cite the respective publications published in the journal or at the conference where the researchers submit their paper.

If you want your publication to be considered a valuable one, you should follow this policy when you publish at the conferences ICDM, MLDM or MDA. The papers of ICDM, MLDM and MDA are published in the Springer LNCS or LNAI Series and by ibai-publishing Prof. Dr. Petra Perner and most of the libraries worldwide have a copy of these proceedings. Also, the library index at http://www.informatik.uni-trier.de/~ley/db/ carefully lists all publications that have been published at these conferences. All OPEN ACCESS journals of ibai-publishing (http://www.ibai-publishing.org/journal/index.html) are also listed there:

• International Journal Transactions on Machine Learning and Data Mining

• International Journal Transactions on Case-Based Reasoning

• International Journal Transactions on Mass Data Analysis of Signals and Images.

Any researcher can access this index for free. It shows title, authors

and their affiliation, and abstract. It provides a researcher with a fast and complete overview of all publications presented at a conference or a workshop or published in a journal.

So please, before you submit a paper, check the index for relevant publications. If you have only cited publications from outside the main stream of ICDM, MLDM or MDA or any of the journals, the question will be raised why you then did not publish your paper outside the main stream.

If the reviewer suggests to cite a publication, please do so! It will make your publication more valuable.

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Newark in New Jersey Dear Participant,

I know I teased you a bit. We are not in New York, we are in Newark. That is the little sister of NY and located in the State of New Jersey. It used to be a business area with a lot of companies producing goods like textiles, iron and other stuff. The raw material came from upstate New Jersey and was transported by ship on the Passaic River. Money was made fast here and you can still see the signs of this past. There are old business houses at Main Street, as you might know them from old movies, very nicely renovated and preserved. The Town House has a golden cupola. I still remember the time when one of my relatives, who had been a weaver and later on in America a textile-company owner, proudly said: “We have a golden cupola now.”

Americans are proud of what they have and of what they have achieved. They are active members of the community. They do not play down their performances, something other nations could learn from them.

Unfortunately, they do not rely so much on old things. If it has made his job, it goes to ruin. You can still see the landing bridges of the ships that brought the raw material to Newark. The technique must have been an innovation at the time when it was installed. The

landing bridges are located near the Main Railway Station, in an area where more or less corrosion on the steel bridges and cranes has done its job. A bit of color on the industrial facilities would make a nice open industrial museum of this area.

The Main Railway Station is another point of interest worthwhile

looking at. Go to the waiting hall, have a look around, visit the pub

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there. Stroll around downtown Newark and get a flavor of the atmosphere of life there.

Not very long ago it has not been so easy to walk around in Newark. The unemployment rate was high and mainly black people were seen on the streets. Newark was an area where living was inexpensive. The government then installed a lot of education and training programs and created new jobs. The result is evident. People are proud now, whether they are white, black, or yellow. They have undergone education or training and hold certificates. They have new jobs now that are in accordance with the special needs of the new economy.

The officer at the Immigration Office wanted to know what I am doing and I answered that I am a scientist and working in something like artificial intelligence. He looked at me, congratulated me for the job I am doing, but then he said: ”Artificial intelligences destroys jobs. What shall people do who are not so smart? What jobs can they get?” And I told him that we want to make life easier and more beautiful, that to that end we needed AI, E-Commerce etc. I pointed out that we also know that we had to create new jobs for those who could not be scientists and the new economy that we were creating needed jobs for people at all levels of intelligence and that we had to educate them for that.

Further, see the Parliament of Newark which looks a little like Washington´s Parliament.

Share a taxi and go to Hoboken. Walk around the main street with its small shops and restaurants. You can take from Hoboken Main Railway Station the bus to Point Authority. The bus brings you to NY within minutes. The railway

station in Hoboken is marvelous and a must see. It is in Tiffany style and gives you a taste of the past. From there you can take a ferry to

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different places in NY. You can go to Battery Park, to the Finance District and other points of interest.

Seeing NY is a must anyway for everybody who has not been there yet. From Battery Park the underground runs below 5th Avenue and brings you to all the important places – to museums, galleries, parks, shopping areas and

restaurants. I especially like the City Museum of NY. It is a small but very beautiful and informative multimedia installation about the beginning of NY and how the city has developed over time.

The Metropolitan Museum is another highlight, but it takes a lot of time to see everything. Before you go there, make sure what time period or what area you want to visit and concentrate on that. Next time you will be in NY visit the Metropolitan again and decide for another time period. So, step by step you will see everything.

Greenwich Village is a place where you can find nice restaurants offering different styles of cuisine. Plan to stop at lunch or dinner time in Greenwich Village, relax over there in a garden restaurant and enjoy the food.

There is a bus going to Newark airport that can bring you back to Newark. You can catch the bus from different points along the main street in Manhattan. Another option is to go to Penn Station and take the fast train to Newark.

Enjoy the Conference and Have Fun By Visiting Newark, Hoboken and New York! Sincerely yours, Prof. Dr. Petra Perner Chair

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Institute of Computer Vision and Applied Computer Sciences, IBaI Prof. Dr. Petra Perner / Head of IBaI and Research Head of IBaI Arno-Nitzsche-Str. 45 04277 Leipzig Germany [email protected] www.ibai-institut.de

www.ibai-research.de