A. Abraham, MIR Labs, Auburn, WA, USA (Ed) A. Abraham, … › sgw › documents › 1321540 › ... · 2012-04-27 · Product category Contributed volume Due July 2012 2012. X, 360

News 4/2012 Computer Science

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A. Abraham, MIR Labs, Auburn, WA, USA (Ed)

Computational Social NetworksSecurity and Privacy

Features 7 Presents the latest advances in security and pri-vacy issues in computational social networks, and illustrates how both organizations and individuals can be protected from real-world threats 7 Dis-cusses the design and use of a wide range of computational tools and software for social network analysis 7 Provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology

Contents Part I: Privacy and Trust.- Computational Social Networks: Security and Privacy.- Security, Privacy and Trust in Social Networks.- Blogging Around the Globe: Motivations, Privacy Concerns and Social Networking.- Privacy in Online Social Networks.- Privacy Settings in Online Social Networks as a Conflict of Interests.- A Reliability-Based Metric for Inferring Trust from Recommen-dations in Knowledge Sharing Networks.- Part II: Security and Applications.- Measurement Methods of User Behavior in Online Social Net-works.- Exploring Influence and Interests among Users within Social Networks.- User Cooperation, Virality and Gaming in a Social Mobile Network: The Gedda-Headz Concept.- An Effective User-Driven Framework for Selection of Social Network Services.- Opinion Mining for Social Networking: An Approach and Impact.- Part III: Anonymity.- Providing Group Anonymity in Social Networks.- Anonymisation of Social Networks and a Rough Set Approach.- Behavioural Patterns and Social Networks in Anonymity Systems.

Fields of interestsComputer Communication Networks; Database Management; User Interfaces and Human Com-puter Interaction

Target groupsResearch

Product categoryContributed volume

Due July 2012

2012. X, 360 p. 87 illus. Hardcover7 approx. * € (D) 101,60 | € (A) 104,45 | sFr 126,507 approx. € 94,95 | £85.50ISBN 978-1-4471-4050-4

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A. Abraham, MIR Labs, Auburn, WA, USA (Ed)

Computational Social NetworksMining and Visualization

Features 7 Presents the latest advances in CSNs, and illus-trates how organizations can gain a competitive advantage from a better understanding of complex social networks 7 Discusses the design and use of a wide range of computational tools and soft-ware for social network analysis, with a focus on knowledge discovery and visualization of complex networks 7 Provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network techno-logy

Contents Part I: Mining.- Social Networks Analysis.- Perfor-mance Evaluation of Social Network Using Data Mining Techniques.- Bio-Inspired Clustering and Data Diffusion in Machine Social Networks.- Mi-ning Geo-Referenced Community-Contributed Multimedia Data.- Correlation Mining for Web News Retrieval.- Mining Micro-Blogs.- Mining Buyer Behavior Patterns Based on Dynamic Group-Buying Networks.- Reliable Online Social Network Data Collection.- Knowledge Mining from the Twitter Social Network.- Part II: Visualization.- Mining and Visualizing Research Networks using the Artefact-Actor-Network Approach.- Intelligent Visual Pattern Clustering for Storage Layouts in Virtual Environments.- Extraction and Analysis of Facebook Friendship Relations.- Analysis of Human-Computer Interac-tions and Online Social Networking.- Implemen-tation of Social Network Analysis for Web Cache Content Mining Visualization.




Due July 2012


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A. Abraham, MIR Labs, Auburn, WA, USA; A.‑E. Hassanien, Cairo University, Giza, Egypt (Eds)

Computational Social NetworksTools, Perspectives and Applications

Features 7 Provides the latest advances in computational social networks, and illustrates how organizations can gain a competitive advantage by applying these ideas in real-world scenarios 7 Presents a specific focus on practical tools and applica-tions 7 Provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network techno-logy

Contents Part I: Modeling and Tools.- Computational Social Networks.- Hierarchical Graphical Models for Social and Behavioral Analysis and Forecasting.- Social Network Analysis Techniques for Social-Oriented Mobile Communication Networks.- Detection and Interpretation of Communities in Complex Networks.- Metrics and Models for Soci-al Networks.- Structural Decompositions of Com-plex Networks.- Enhancing Online Communities with Cycle-Sharing for Social Networks.- Robust-ness and Prediction in Social Network Analysis.- Part II: Applications.- Social Networking Tools for Knowledge-Based Action Groups.- Dynamic Web Prediction using Asynchronous Mouse Activity.- PPMN.- Applications of Social Networks in Peer-to-Peer Networks.- Intelligent Social Networks of Devices.- Social Network-Based Media Sharing in the Ubiquitous Environment.- Customer Interac-tion Management Goes Social.- Real Emotions for Simulated Social Networks.- Social Networks for Learning.- Social Networks and Recommendation Systems.




Due July 2012


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www.springer.com/978-1-4471-4050-4



Computer Science springer.com/NEWSonline

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J. A. Bærentzen, J. Gravesen, F. Anton, H. Aanæs, Technical University of Denmark, Kongens Lyngby, Denmark

Guide to Computational Geometry ProcessingFoundations, Algorithms, and Methods

This book reviews the algorithms for processing geometric data, with a practical focus on impor-tant techniques not covered by traditional courses on computer vision and computer graphics.

Features 7 Provides a practical focus on important tech-niques not covered by traditional courses on com-puter vision and computer graphics 7 Presents an introduction to the theoretical and mathemati-cal underpinnings of each technique 7 Includes self-study exercises throughout the text, and supplies additional material at a supplementary website

Contents Part I: Mathematical Preliminaries.- Vector Spaces, Affine Spaces, and Metric Spaces.- Diffe-rential Geometry.- Finite Difference Methods for Partial Differential Equations.- Part II: Computa-tional Geometry Processing.- Polygonal Meshes.- Splines.- Subdivision.- Curvature in Triangle Meshes.- Mesh Smoothing and Variational Subdi-vision.- Parametrization of Meshes.- Simplifying and Optimizing Triangle Meshes.- Spatial Data Indexing and Point Location.- Convex Hulls.- Triangle Mesh Generation: Delaunay Triangulati-on.- 3D Surface Registration via Iterative Closest Point (ICP).- Surface Reconstruction using Radial Basis Functions.- Volumetric Methods for Surface Reconstruction and Manipulation.- Isosurface Polygonization.

Fields of interestsMath Applications in Computer Science; Symbolic and Algebraic Manipulation; Computer Graphics

Target groupsGraduate

Product categoryGraduate/Advanced undergraduate textbook

Due July 2012

2012. XVIII, 337 p. 174 illus., 17 in color. Hardcover7 approx. * € (D) 64,15 | € (A) 65,95 | sFr 80,007 approx. € 59,95 | £49.99ISBN 978-1-4471-4074-0

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J. Benois‑Pineau, LABRI, Talence, France; F. Precioso, Laboratoire d‘Informatique, Signaux et Systèmes de Sophia Antipolis Cedex, France; M. Cord, Laboratoire d‘Informatique de Paris, France

Visual Indexing and RetrievalThe research in content-based indexing and retrie-val of visual information such as images and video has become one of the most populated directions in the vast area of information technologies. Social networks such as YouTube, Facebook, FileMobile, and DailyMotion host and supply facilities for accessing a tremendous amount of professional and user generated data. The areas of societal ac-tivity, such as, video protection and security, also generate thousands and thousands of terabytes of visual content. This book presents the most recent results and important trends in visual information indexing and retrieval. It is intended for young researchers, as well as, professionals looking for an algorithmic solution to a problem.

Contents Introduction.- Visual feature extraction and de-scription.- Machine learning approaches for visual information and retrieval.- Spatial and multi-resolution context in visual indexing.- Scalability issues in visual information retrieval.- Evaluation of visual information indexing and retrieval.- Re-ferences.

Fields of interestsMultimedia Information Systems; Information Storage and Retrieval; Information Systems Appli-cations (incl.Internet)


Product categoryBrief

Due April 2012

2012. X, 108 p. 18 illus., 15 in color. (SpringerBriefs in Computer Science) Softcover7 * € (D) 42,75 | € (A) 43,95 | sFr 53,507 € 39,95 | £35.99ISBN 978-1-4614-3587-7

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R. Berk, University of Pennsylvania, Philadelphia, PA, USA

Criminal Justice Forecasts of RiskA Machine Learning Approach

Machine learning and nonparametric function estimation procedures can be effectively used in forecasting. One important and current applica-tion is used to make forecasts of “future dange-rousness“ to inform criminal justice decision. Examples include the decision to release an individual on parole, determination of the parole conditions, bail recommendations, and sentenci-ng. Since the 1920s, „risk assessments“ of various kinds have been used in parole hearings, but the current availability of large administrative data bases, inexpensive computing power, and developments in statistics and computer science have increased their accuracy and applicability. In this book, these developments are conside-red with particular emphasis on the statistical and computer science tools, under the rubric of supervised learning, that can dramatically improve these kinds of forecasts in criminal justice settings. The intended audience is researchers in the social sciences and data analysts in criminal justice agencies.

Contents Getting Started.- Some Important Background Material.- A Conceptual Introduction to Clas-sification and Forecasting.- A More Formal Treatment of Classification and Forecasting.- Tree-Based Forecasting Methods.- Examples.- Im-plementation.- Some Concluding Observations About Actuarial Justice and More.- References.

Fields of interestsArtificial Intelligence (incl. Robotics); Statistical Theory and Methods; Probability and Statistics in Computer Science



Due March 2012

2012. VIII, 115 p. 21 illus., 16 in color. (SpringerBriefs in Computer Science) Softcover7 * € (D) 42,75 | € (A) 43,95 | sFr 53,507 € 39,95 | £35.99ISBN 978-1-4614-3084-1

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M. B. Blake, University of Notre Dame, IN, USA; L. Cabral, The Open University, Milton Keynes, UK; B. König‑Ries, U. Küster, University of Jena, Germany; D. Martin, SRI International, Menlo Park, CA, USA (Eds)

Semantic Web ServicesAdvancement through Evaluation

Contents Introduction.- Part I Results from the S3 Contest: OWL-S and SAWSDL Matchmaker Evaluation Tracks.- Overview of the S3 Contest: Performance Evaluation of Semantic Service Matchmakers.- SeMa2 - a Hybrid Semantic Service Matching Approach.- OPOSSUM: Indexing Techniques for an Order-of-Magnitude Improvement of Service Matchmaking Times.- Adaptive Hybrid Selection of Semantic Services: The iSeM Matchmaker.- SPARQLent: a SPARQL Based Intelligent Agent Performing Service Matchmaking.- Semantic Annotations and Web Service Retrieval: the URBE Approach.- SAWSDL Services Matchma-king using SAWSDL-iMatcher.- Self-Adaptive Semantic Matchmaking using COV4SWS.KOM and LOG4SWS.KOM.- Part II Results from the S3 Contest: Cross Evaluation Track.- Overview of the Jena Geography Dataset Cross Evaluation.- Evalu-ation of Structured Collaborative Tagging for Web Service Matchmaking.- Ontology Based Discovery of Semantic Web Services with IRS-III.- Part III Results from the Semantic Web Service Chal-lenge.- Overview of the Semantic Web Service Challenge.- Loosely Coupled Information Models for Business Process Integration - Incorporating Rule-based Semantic Bridges into BPEL.- The XMDD Approach to the Semantic Web Services Challenge.- Service Offer Discovery in the SWS Challenge Shipment Discovery Scenario. [...]

Fields of interestsInformation Systems Applications (incl.Internet); Artificial Intelligence (incl. Robotics); Software Engineering


Product categoryMonograph

Due June 2012

2012. XX, 341 p. 88 illus., 32 in color. Hardcover7 * € (D) 101,60 | € (A) 104,45 | sFr 126,507 € 94,95 | £85.50ISBN 978-3-642-28734-3

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K. K. Breitman, PUC-Rio, Rio de Janeiro, RJ, Brazil; R. N. Horspool, University of Victoria, BC, Canada (Eds)

Patterns, Programming and EverythingWith 11 invited submissions from leading researchers and teams of researchers sharing one common characteristic ? all have worked with Dr. Judith Bishop during her long and continuing career as a leader in computer science education and research ? this book reflects on Dr Bishop?s outstanding contribution to computer science.

Features 7 Includes an extended chapter on the calcu-lus of object programs by Bertrand Meyer (the designer of Eiffel) 7 Includes a state-of-the-art exposition by Jan Vitek on real-time computing with Java 7 Comprises a well rounded selection of chapters by leading researchers on topics in software engineering, programming languages, and their compilation

Contents Foreword.- Preface.- Assessing Dependability for Mobile and Ubiquitous Systems: is there a Role for Software Architectures?.- A Bestiary of Over-looked Design Patters.- End User Programming in Smart Home.- Reconceptualizing Bottom-Up Tree Rewriting.- Automated Adaptation of Compo-nent Interfaces with Type Based Adaptation.- The Benefits of Bad Teaching.- SSA-Based Simula-ted Execution.- Towards a Calculus of Object Programs.- Formal Specification as High-Level Programming: The ASSL Approach.- Atomicity in Real-time Computing.- Tuning Keyword Pattern Matching.- Afterword.

Fields of interestsSoftware Engineering/Programming and Opera-ting Systems; Programming Techniques; Program-ming Languages, Compilers, Interpreters



Due June 2012

2012. V, 159 p. 53 illus. in color. Hardcover7 * € (D) 90,90 | € (A) 93,45 | sFr 113,507 € 84,95 | £76.50ISBN 978-1-4471-2349-1

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L. Cao, University of Technology Sydney, NSW, Australia; P. S. Yu, University of Illinois at Chicago, IL, USA (Eds)

Behavior ComputingModeling, Analysis, Mining and Decision

Contents Preface.- Part I: Behavior Modeling.- Analy-zing Behavior of the Influentials across Social Media.- Modeling and Analysis of Social Activity Process.- Behavior Representation and Manage-ment Making Use of the Narrative Knowledge Representation Language.- Semi-Markovian representation of User Behavior in Software Packages.- Part II: Behavior Analysis.- P-SERS: Personalized Social Event Recommender System.- Simultaneously Modeling Reply Networks and Contents to Generate User’s Profiles on Web Forum.- Information Searching Behavior Mining Based on Reinforcement Learning Models.- Esti-mating Conceptual Similarities using Distributed Representations and Extended Backpropagati-on.- Scoring and Predicting Risk Preferences.- An Introduction to Prognostic Search.- Part III: Behavior Mining.- Clustering Clues of Trajectories for Discovering Frequent Movement Behaviors.- Linking Behavioral Patterns to Personal Attributes through Data Re-Mining.- Mining Causality from Non-categorical Numerical Data.- A Fast Algorithm for Mining High Utility Itemsets.- In-dividual Movement Behavior in Secure Physical Environments: Modeling and Detection of Suspi-cious Activity.- A Behavioral Modeling Approach to Prevent Unauthorized Large-Scale Documents Copying from Digital Libraries.- Analyzing Twit-ter User Behaviors and Topic Trends by Exploiting Dynamic Rules.- Part IV: Behavior Applications.- Behavior Analysis of Telecom Data using Social Network Analysis. [...]

Fields of interestsModels and Principles; Data Mining and Knowledge Discovery; Information Storage and Retrieval



Due June 2012

2012. XVI, 360 p. 122 illus. Hardcover7 * € (D) 101,60 | € (A) 104,45 | sFr 126,507 € 94,95 | £85.95ISBN 978-1-4471-2968-4

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J. Dill, Simon Fraser University, Burnaby, BC, Canada; R. Earnshaw, University of Bradford, UK; D. Kasik, The Boeing Company, Seattle, WA, USA; J. Vince, Bournemouth University, Poole, UK; P. C. Wong, Pacific Northwest National Laboratory, Richland, WA, USA (Eds)

Expanding the Frontiers of Visual Analytics and VisualizationContents List of Contributors.- Introduction – the Best is Yet to Come.- Part 1: Evolving a Vision.- An Illuminated Path: The Impact of the Work of Jim Thomas.- The Evolving Leadership Path of Visual Analytics.- Part 2: Visual Analytics and Visuali-zation.- Visual Search and Analysis in Complex Information Spaces – Approaches and Research Challenges.- Dynamic Visual Analytics – Facing the Real-Time Challenge.- A Review of Uncertain-ty in Data Visualization.- How to Draw a Graph, Revisited.- Using Extruded Volumes to Visualize Time-Series Data Sets.- Event Structuring as a General Approach to Building Knowledge in Time-Based Collections.- A Visual Analytics Approach for Protein Disorder Prevention.- Visual Storytelling in Education applied to Spatio-tempo-ral Multivariate Statistics Data.- Part 3: Interaction and User Interfaces.- Top Ten Interaction Challen-ges in Extreme-Scale Visual Analytics.- GUI 4D – the Role and the Impact of Visual, Multimedia and Multilingual User Interfaces in ICT Applications and Services for Users Coming from the Bottom of the Pyramid – First Concepts, Prototypes, and Experiences.- Emotion in Human Computer Interaction.- Applying Artistic Color Theories to Visualization. [...]

Fields of interestsUser Interfaces and Human Computer Interaction; Computer Imaging, Vision, Pattern Recognition and Graphics; Image Processing and Computer Vision



Due June 2012

2012. XXXVIII, 502 p. 223 illus., 199 in color. Hardcover7 * € (D) 117,65 | € (A) 120,95 | sFr 146,507 € 109,95 | £99.95ISBN 978-1-4471-2803-8

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H. Halpin, Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA

Social SemanticsThe Search for Meaning on the Web

Social Semantics: The Search for Meaning on the Web provides a unique introduction to identity and reference theories of the World Wide Web, through the academic lens of philosophy of language and data-driven statistical models. The Semantic Web is a natural evolution of the Web, and this book covers the URL-based Web architec-ture and Semantic Web in detail. It has a robust empirical side which has an impact on industry. Social Semantics: The Search for Meaning on the Web discusses how the largest problem facing the Semantic Web is the problem of identity and reference, and how these are the results of a larger general theory of meaning. This book hypothe-sizes that statistical semantics can solve these problems, illustrated by case studies ranging from a pioneering study of tagging systems to using the Semantic Web to boost the results of commercial search engines.

Features 7 Presents case studies and experiments including the pioneering study of tagging systems 7 Covers performance of commercial search engines 7 Illustrates that the substance matter of this book has a robustly empirical side with an impact on industry

Contents Introduction.- Architecture of the World Wide Web.- The Semantic Web.- Theories of Semantics on the Web.- The Semantics of Tagging.- The Semantics of Search.- Social Semantics.

Fields of interestsInformation Systems Applications (incl.Internet); Information Storage and Retrieval; Artificial Intel-ligence (incl. Robotics)

Target groupsProfessional/practitioner

Product categoryProfessional book

Due July 2012

2012. V, 225 p. 50 illus. (Semantic Web and Beyond, Volume 13) Hardcover7 approx. * € (D) 80,20 | € (A) 82,45 | sFr 98,007 approx. € 74,95 | £66.99ISBN 978-1-4614-1884-9

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T. Jenkyns, Brock University, St. Catharines, ON, Canada; B. Stephenson, University of Calgary, AB, Canada

Fundamentals of Discrete Math for Computer ScienceA Problem‑Solving Primer

This textbook provides an engaging and motivati-onal introduction to traditional topics in discrete mathematics, in a manner specifically designed to appeal to computer science students. The text em-powers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Clearly structured and interactive in nature, the book presents detailed walkthroughs of several algorithms, stimulating a conversation with the reader through informal commentary and provo-cative questions.

Features 7 Highly accessible and easy to read, introdu-cing concepts in discrete mathematics without requiring a university-level background in mathe-matics 7 Ideally structured for classroom-use and self-study, with modular chapters following ACM curriculum recommendations 7 Contains examples and exercises throughout the text, and highlights the most important concepts in each section

Contents Algorithms, Numbers and Machines.- Sets, Sequences and Counting.- Boolean Expressions, Logic and Proof.- Searching and Sorting.- Graphs and Trees.- Relations: Especially on (Integer) Sequences.- Sequences and Series.- Generating Sequences and Subsets.- Discrete Probability and Average Case Complexity.- Turing Machines.

Fields of interestsDiscrete Mathematics in Computer Science; Algo-rithm Analysis and Problem Complexity

Target groupsLower undergraduate

Product categoryUndergraduate textbook

Due July 2012

2012. XII, 482 p. (Undergraduate Topics in Computer Science) Softcover7 approx. * € (D) 48,10 | € (A) 49,45 | sFr 60,007 approx. € 44,95 | £39.99ISBN 978-1-4471-4068-9

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A. Krüger, DFKI GmbH, Saarbrücken, Germany; T. Kuflik, University of Haifa, Israel (Eds)

Ubiquitous Display EnvironmentsContents Ubiquitous Display Environments: An Over-view (Tsvi Kuflik).- Challenges and Solutions of Ubiquitous User Modeling (Tsvi Kuflik, Judy Kay, Bob Kummerfeld).- Context-Sensitive Display Environments (Florian Daiber, Antonio Krüger, Johannes Schöning, Jörg Müller).- Perspectives on Reasoning About Time (Martin Charles Golum-bic).- Shared Interfaces for Co-located Interaction (Massimo Zancanaro).- Considering the Aest-hetics of Ubiquitous Displays (Noam Tractinsky, Eleanor Eytam).- The Design, Deployment and Evaluation of Situated Display Based Systems to Support Coordination and Community (Keith Cheverst, Faisal Taher, Matthew Fisher, Daniel Fitton, Nick Taylor).- xioScreen -- Experiences Gained from Building a Series of Prototypes of Interactive Public Displays (KP Ludwig John, Thomas Rist).- Audience Measurement for Digital Signage: Exploring the Audience’s Perspective (Jörg Müller, Keith Cheverst).- Analysis and Prediction of Museum Visitors’ Behavioral Pattern Types (Tsvi Kuflik, Zvi Boger, Massimo Zancana-ro).- Trust Management of Ubiquitous Multi-dis-play Environments (Ekatarina Kurdyukova, Elisa-beth André, Karin Leichtenstern).- From Research to Practice: Automated Negotiations with People (Raz Lin, Sarit Kraus).- Virtual Technologies and Empowerment of Users of Rehabilitation (Naomi Schreuer, Patrice L. (Tamar) Weiss.

Fields of interestsUser Interfaces and Human Computer Interaction; Artificial Intelligence (incl. Robotics); Compu-ter Imaging, Vision, Pattern Recognition and Graphics



Due June 2012

2012. Approx. 235 p. (Cognitive Technologies) Hardcover7 approx. * € (D) 90,90 | € (A) 93,45 | sFr 113,507 approx. € 84,95 | £76.50ISBN 978-3-642-27662-0

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A. Lazakidou, University of Peloponnese, Sparta, Greece (Ed)

Virtual Communities, Social Networks and CollaborationOnline communities are among the most obvious manifestations of social networks based on new media technology.

Features 7 Covers cutting edge research topics of utmost real-world importance in the specific domain of social networks 7 Addresses what leads to participation and effective collaboration in online communities 7 Presents studies from leading researchers and practitioners in the field

Contents Health Related Virtual Communities and Social Networking Services.- Emergent Evaluation Criteria for Collaborative Learning Environment.- Evaluating and Enriching Online Knowledge Ex-change: A Social Epistemological / Lay Epistemics Perspective.- Organizational Design of Online Communities.- A Security Model for Virtual Healthcare Communities.- Cybernationalism: Terrorism, Political Activism, and National Iden-tity Creation in Virtual Communities and Social Media.- E-Government and Data Protection in the Public Sector.- Building SCIENAR, A Virtual Community of Artists and Scientists: Usability Testing for the System Improvement.- User-Generated Content for Location-Based Services: A Review.- Generating Social Awareness through Social Network Sites.- Markov Random Field and Social Networks.- Mobile Communities – Current Status and Challenges.- Social Networks in Envi-ronmental Epidemiology.

Fields of interestsInformation Systems Applications (incl.Internet); Business Information Systems; Computer Appl. in Social and Behavioral Sciences



Due June 2012

2012. X, 258 p. 55 illus., 21 in color. (Annals of Information Systems, Volume 15) Softcover7 * € (D) 90,90 | € (A) 93,45 | sFr 113,507 € 84,95 | £76.50ISBN 978-1-4614-3633-1

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T. Lovett, E. O‘Neill, University of Bath, UK (Eds)

Mobile Context AwarenessMobile context-awareness is a popular research trend in the field of ubiquitous computing. Advances in mobile device sensory hardware and the rise of ‘virtual’ sensors such as web application programming interfaces (APIs) mean that the mobile user is exposed to a vast range of data that can be used for new advanced applications.

Features 7 With contributions by international experts from both academia and industry 7 Contains methods and algorithms to solve unique problems in mobile context-awareness 7 A focus on empi-ricism: many chapters contain results of evalua-tions in the field

Contents Foreword.- Introduction.- Modeling Success, Failure, and Intent of Multi-Agent Activities Under Severe Noise.- Energy Accuracy Trade-offs of Sensor Sampling in Smart Phone based Sensing Systems.- Acceleration Noise Correction for Transfer Inference Using Accelerometers on Mobi-le Devices.- Mobile Sensing of User’s Motion and Position Context for Automatic Check-in Sugges-tion and Validation.- The Case for Context-Aware Resources Management in Mobile Operating Systems.- A Scalable Sensor Middleware for Social End-User Programming.- Mobile Context-Aware Support for Public Transportation Systems.- Qua-lity Sensitive Web Service Profiling and Discovery: In support of Mobile and Pervasive Applications.- A Middleware Supporting Adaptive and Context-Aware Mobile Applications.

Fields of interestsUser Interfaces and Human Computer Interaction; Computer Appl. in Social and Behavioral Sciences; Computers and Society



Due June 2012

2012. XII, 200 p. 77 illus. Hardcover7 * € (D) 85,55 | € (A) 87,95 | sFr 115,007 € 79,95 | £59.95ISBN 978-0-85729-624-5

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V. Märgner, H. El Abed, Braunschweig Technical University, Germany (Eds)

Guide to OCR for Arabic ScriptsContents Part I: Pre-Processing.- An Assessment of Arabic Handwriting Recognition Technology.- Layout Analysis of Arabic Script Documents.- A Multi-Stage Approach to Arabic Document Analysis.- Pre-Processing Issues in Arabic OCR.- Segmen-tation of Ancient Arabic Documents.- Features for HMM-Based Arabic Handwritten Word Recognition Systems.- Part II: Recognition.- Prin-ted Arabic Text Recognition.- Handwritten Arabic Word Recognition Using the IFN/ENIT-Data-base.- RWTH OCR: A Large Vocabulary Optical Character Recognition System for Arabic Scripts.- Arabic Handwriting Recognition using Bernoulli HMMs.- Handwritten Farsi Words Recognition Using Hidden Markov Models.- Offline Arabic Handwriting Recognition with Multidimensio-nal Recurrent Neural Networks.- Application of Fractal Theory in Farsi/Arabic Document Ana-lysis.- Multi-Stream Markov Models for Arabic Handwriting Recognition.- Towards Distributed Cursive Writing OCR Systems based on the Com-bination of Complementary Approaches.- Part III: Evaluation.- Data Collection and Annotation for Arabic Document Analysis.- Arabic Hand-writing Recognition Competitions.- Benchmar-king Strategy for Arabic Screen Rendered Word Recognition.- Part IV: Applications.- A Robust Word Spotting System for Historical Arabic Manuscripts.- Arabic Text recognition using a Script-Independent Methodology: A Unified HMM-based Approach for Machine-print and Handwritten Text.- Arabic Handwriting Recog-nition Using VDHMM and Over-Segmentation.- Online Arabic Databases and Applications. [...]

Fields of interestsImage Processing and Computer Vision; Docu-ment Preparation and Text Processing; Pattern Recognition



Due July 2012

2012. XXXIV, 610 p. 299 illus., 31 in color. Hardcover7 approx. * € (D) 116,63 | € (A) 119,90 | sFr 145,507 approx. € 109,00 | £95.50ISBN 978-1-4471-4071-9

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A. Rademaker, Getulio Vargas Foundation, Rio de Janeiro, RJ, Brazil

A Proof Theory for Description LogicsDescription Logics (DLs) is a family of formalisms used to represent knowledge of a domain. They are equipped with a formal logic-based seman-tics. Knowledge representation systems based on description logics provide various inference capa-bilities that deduce implicit knowledge from the explicitly represented knowledge. A Proof Theory for Description Logics introduces Sequent Calculi and Natural Deduction for some DLs (ALC, ALCQ). Cut-elimination and Normalization are proved for the calculi. The author argues that such systems can improve the extraction of computa-tional content from DLs proofs for explanation purposes.

Features 7 Provides an innovative approach for reasoning with description logic theories 7 Presents future practical applications of description logic proof theories

Contents Introduction.- Background.- Sequent Calculus for ALC.- Comparing SCalc with other ALC De-duction Systems.- Natural Deduction for ALC.- A Proof Theory for ALCQI.- Proofs and Explana-tions.- A Prototype Theorem Prover.- Conclusion.

Fields of interestsMathematical Logic and Formal Languages; Ma-thematics of Computing



Due May 2012

2012. VII, 113 p. 16 illus. (SpringerBriefs in Computer Science) Softcover7 * € (D) 42,75 | € (A) 43,95 | sFr 53,507 € 39,95 | £35.99ISBN 978-1-4471-4001-6

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R. Riener, ETH Zurich & University Hospital Balgrist, Switzerland; M. Harders, ETH Zurich, Switzerland

Virtual Reality in MedicineVirtual Reality has the potential to provide descriptive and practical information for medical training and therapy while relieving the patient or the physician. Multimodal interactions between the user and the virtual environment facilitate the generation of high-fidelity sensory impressions, by using not only visual and auditory, but also kinesthetic, tactile, and even olfactory feedback modalities. On the basis of the existing physiologi-cal constraints, Virtual Reality in Medicine derives the technical requirements and design principles of multimodal input devices, displays, and rende-ring techniques. Resulting from a course taught by the authors, Virtual Reality in Medicine presents examples for surgical training, intra-operative augmentation, and rehabilitation that are already in use as well as those currently in development.

Features 7 Provides a broad technical basis of different VR display and rendering technologies 7 Includes the newest applications of VR trainers applied to surgery and rehabilitation 7 Perfectly com-bines technical foundations of VR with medical applications 7 Includes numerous examples of tool-based training simulators

Contents Introduction to Virtual Reality in Medicine.- Input Periphery.- Visual Aspects.- Haptic Aspects.- Au-ditory Aspects.- Olfactory and Gustatory Aspects.- Virtual Reality for Rehabilitation.- VR for Medical Training.- VR for Planning and Intraoperative Support.- Medical Model Generation.- Soft Tissue Deformation.- Index.

Fields of interestsComputer Imaging, Vision, Pattern Recognition and Graphics; Medicine/Public Health, general



Due June 2012

2012. XII, 324 p. 208 illus., 161 in color. Hardcover7 * € (D) 64,15 | € (A) 65,95 | sFr 80,007 € 59,95 | £53.99ISBN 978-1-4471-4010-8

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R. C. Rocha, Federal University of Goias, GO, Brazil; M. Endler, Pontifical Catholic University of Rio de Janeiro, RJ, Brazil

Context Management for Distributed and Dynamic Context-Aware ComputingResearch in context-aware computing has produ-ced a number of middleware systems for context management. However, development of ubiqui-tous context-aware applications is still a challenge because most current middleware systems are still focused on isolated and static context-aware environments. Context-aware environments are inherently dynamic as a result of occasional additions or upgrade of sensors, applications or context inference mechanisms. Context Manage-ment for Distributed and Dynamic Context-Aware Computing proposes a novel architecture for con-text management based on the concept of context domains, allowing applications to keep context interests across distributed context management systems. The authors describe a distributed middleware that implements the aforementioned concepts, without compromising scalability and efficiency of context access.

Contents Introduction.- Foundations of Context Manage-ment in Distributed and Dynamic Environments.- State of the Art.- Domain-based Context Manage-ment.- Usage Scenario.- Middleware for Context Management based on Context Domains.- Imple-mentation and Evaluation.- Conclusions.

Fields of interestsComputer Communication Networks; Computer Science, general



Due May 2012

2012. VIII, 98 p. 29 illus. (SpringerBriefs in Computer Science) Softcover7 * € (D) 42,75 | € (A) 43,95 | sFr 53,507 € 39,95 | £35.99ISBN 978-1-4471-4019-1

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C. N. Santos, Universidade de Fortaleza, Ceará, Brazil; R. L. Milidiú, Pontifícia Universidade Católica do Rio de Janeiro, Brazil

Entropy Guided Transformation Learning: Algorithms and ApplicationsEntropy Guided Transformation Learning: Algo-rithms and Applications (ETL) presents a machine learning algorithm for classification tasks. ETL generalizes Transformation Based Learning (TBL) by solving the TBL bottleneck: the construction of good template sets. ETL automatically generates templates using Decision Tree decomposition. The authors describe ETL Committee, an ensem-ble method that uses ETL as the base learner. Experimental results show that ETL Committee improves the effectiveness of ETL classifiers.

Features 7 Detailed explanation of the Entropy Guided Transformation Learning algorithm 7 Detailed explanation of how to create ensembles of ETL classifiers 7 Explains how to apply ETL to four NLP problems

Contents Preface.- Acknowledgements.- Acronyms.- Part I Entropy Guided Transformation Learning: Algorithms.- Introduction.- Entropy Guided Transformation Learning.- ETL Committee.- Part II Entropy Guided Transformation Learning: Applications.- General ETL Modeling for NLP Tasks.- Part-of-Speech Tagging.- Phrase Chun-king.- Named Entity Recognition.- Semantic Role Labeling.- Conclusions.- Appendices.

Fields of interestsPattern Recognition; Language Translation and Linguistics; Computational Linguistics



Due April 2012

2012. XIII, 78 p. 10 illus. (SpringerBriefs in Computer Science) Softcover7 * € (D) 42,75 | € (A) 43,95 | sFr 53,507 € 39,95 | £35.99ISBN 978-1-4471-2977-6

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M. Weske, Hasso Plattner Institut an der Universität Potsdam, Germany

Business Process ManagementConcepts, Languages, Architectures

Business process management is usually treated from two different perspectives: business admi-nistration and computer science. While business administration professionals tend to consider information technology as a subordinate aspect in business process management for experts to handle, by contrast computer science professionals often consider business goals and organizational regulations as terms that do not deserve much thought but require the appropriate level of abstraction.

Features 7 Details the complete business process lifecycle from the modeling phase to process enactment and improvement 7 Presents both traditional and advanced business process management architectures, like e.g. workflow management sys-tems and service-oriented architectures 7 Shows how standards like WfMC, SOAP, WSDL, and BPEL fit into the picture 7 Accompanying website www.bpm-book.com contains additional teaching material 7 Textbook material tested in many industrial and academic courses

Contents Part I Foundation.- Introduction.- Evolution of Enterprise Systems Architectures.- Part II Business Process Modelling.- Business Process Modelling Foundation.- Process Orchestrations.- Process Choreographies.- Properties of Business Proces-ses.- Part III Architectures and Methodologies.- Business Process Management Architectures.- Business Process Management Methodology.

Fields of interestsComputer Appl. in Administrative Data Proces-sing; Business Information Systems; Information Systems Applications (incl.Internet)

Target groupsProfessional/practitioner


Due May 2012

2nd ed. 2012. XVI, 404 p. 300 illus. Hardcover7 * € (D) 64,15 | € (A) 65,95 | sFr 80,007 € 59,95 | £53.99ISBN 978-3-642-28615-5

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K. Wolter, Free University Berlin, Germany; A. Avritzer, Siemens Corporate Research, Princeton, NJ, USA; M. Vieira, University of Coimbra, Portugal; A. van Moorsel, Newcastle University, UK (Eds)

Resilience Assessment and Evaluation of Computing SystemsContents Part I Introduction and Motivating Examp-les.- Fault Tolerance and Resilience: Meanings, Measures and Assessment.- Resilience in Mobile Networks: A Need and a Challenge.- Assessing Dependability and Resilience in Critical Infra-structures: Challenges and Opportunities.- Provi-ding Dependability and Resilience in the Cloud: Challenges and Opportunities.- Part II Modelling Techniques.- Phase-Type Distributions.- Scala-ble Stochastic Modelling for Resilience.- Part III Model-Driven Prediction.- Modelling and Model-Based Assessment.- Software Aging and Rejuvena-tion for Increased Resilience: Modeling, Analysis and Applications.- Online Prediction: Four Case Studies.- Part IV Measurement and Metrics.- Foundations of Metrology in the Observation of Critical Systems.- Field Studies on Resilience: Measurements and Repositories.- Failure Diagno-sis of Complex Systems.- Fault Injection.- Resili-ence Benchmarking.- Part V Testing Techniques.- Enforcing Resilience by Systematic Testing based on Structural and Operational Coverage Measu-res.- Resilience Assessment based on Performance Testing.- Robustness Testing Techniques and Tools.- Part VI Case Studies.- Case Study: Mobile Networks.- Case Study on Critical Infrastructures: Assessment of Electric Power Systems.- Providing Dependability and Performance in the Cloud: Case Studies. [...]

Fields of interestsSystem Performance and Evaluation; Probability and Statistics in Computer Science; Quality Con-trol, Reliability, Safety and Risk



Due June 2012

2012. Approx. 550 p. Hardcover7 approx. * € (D) 101,60 | € (A) 104,45 | sFr 126,507 approx. € 94,95 | £85.50ISBN 978-3-642-29031-2

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