Rough Sets and Current Trends in Computing: 7th International Conference, Rsctc 2010, Warsaw, Poland, June 28-30, 2010 Proceedings

ISBN-13: 9783642135286 / Angielski / Miękka / 2010 / 771 str.

Marcin Szczuka; Marzena Kryszkiewicz; Sheela Ramanna

Opis

Thisvolumecontainsthepapersselectedforpresentationatthe7thInternational Conference on Rough Sets and Current Trends in Computing (RSCTC 2010) held at the University of Warsaw, Poland, during June 28 30, 2010. This was the seventh edition of the event that has established itself as the main forum for exchange of ideas between researchersin various areasrelated to rough sets. In 2010, the conference went back to its origins both in terms of its location (the ?rst RSCTC conference was held in Warsaw, Poland in 1998) and in terms of topic coverage.The dates also markthe third anniversaryofRSEISP 2007 a conference dedicated to the memory of Zdzis law Pawlak. RSCTC2010wastoprovideresearchersandpractitionersinterestedineme- inginformationtechnologiesaforumtoshareinnovativetheories, methodologies, and applications in rough sets and its extensions. In keeping with the spirit of past rough set-based conferences, RSCTC 2010 aimed to explore synergies with other closely related areas such as computational intelligence, knowledgedisc- ery from databases and data mining, non-conventional models of computation, andWebmining.Majortopicscoveredintheseproceedingsinclude: approximate anduncertainreasoning, bioinformatics, dataandtextmining, dominance-based roughsetapproaches, evolutionarycomputing, fuzzysettheoryandapplications, logical and mathematical foundations of rough sets, perceptual systems as well as applications of rough sets and its extensions in areas such as medicine, Web intelligence and image processing. The papers included in the special and - dustrial sessions cover learning methods and mining of complex data, soft c- puting applications to multimedia and telemedicine, knowledge representation and exchange in multi-agent systems and emerging intelligent technologies in the telecommunications industry. There were 148 valid (out of 163 in total) submissions to RSCTC 2010. Every paper was examined by at least two reviewers. Out of the papers initially selected, somewereapprovedsubjecttorevisionandthenadditionallyevaluat

Spis treści

Keynote Talks.- Emergent Dynamics of Information Propagation in Large Networks.- New Applications and Theoretical Foundations of the Dominance-based Rough Set Approach.- RSCTC 2010 Discovery Challenge.- RSCTC’2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment.- TunedIT.org: System for Automated Evaluation of Algorithms in Repeatable Experiments.- Clustering.- Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis.- Probabilistic Rough Entropy Measures in Image Segmentation.- Distance Based Fast Hierarchical Clustering Method for Large Datasets.- TI-DBSCAN: Clustering with DBSCAN by Means of the Triangle Inequality.- Multimedia and Telemedicine: Soft Computing Applications.- Vehicle Classification Based on Soft Computing Algorithms.- Controlling Computer by Lip Gestures Employing Neural Networks.- Computer Animation System Based on Rough Sets and Fuzzy Logic.- Adaptive Phoneme Alignment Based on Rough Set Theory.- Monitoring Parkinson’s Disease Patients Employing Biometric Sensors and Rule-Based Data Processing.- Content-Based Scene Detection and Analysis Method for Automatic Classification of TV Sports News.- Combined Learning Methods and Mining Complex Data.- Combining Multiple Classification or Regression Models Using Genetic Algorithms.- Argument Based Generalization of MODLEM Rule Induction Algorithm.- Integrating Selective Pre-processing of Imbalanced Data with Ivotes Ensemble.- Learning from Imbalanced Data in Presence of Noisy and Borderline Examples.- Tracking Recurrent Concepts Using Context.- Support Feature Machine for DNA Microarray Data.- Is It Important Which Rough-Set-Based Classifier Extraction and Voting Criteria Are Applied Together?.- Improving Co-training with Agreement-Based Sampling.- Experienced Physicians and Automatic Generation of Decision Rules from Clinical Data.- Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data.- Rough Sets: Logical and Mathematical Foundations.- A Fuzzy View on Rough Satisfiability.- Rough Sets in Terms of Discrete Dynamical Systems.- A Preference-Based Multiple-Source Rough Set Model.- Classification of Dynamics in Rough Sets.- Relational Granularity for Hypergraphs.- Perceptual Tolerance Intersection.- Rough Approximations: Foundations and Methodologies.- Categories of Direlations and Rough Set Approximation Operators.- Approximations and Classifiers.- A Note on a Formal Approach to Rough Operators.- Communicative Approximations as Rough Sets.- On the Correctness of Rough-Set Based Approximate Reasoning.- Unit Operations in Approximation Spaces.- Machine Learning: Methodologies and Algorithms.- Weighted Nearest Neighbor Classification via Maximizing Classification Consistency.- Rough Set-Based Incremental Learning Approach to Face Recognition.- A Comparison of Dynamic and Static Belief Rough Set Classifier.- Rule Generation in Lipski’s Incomplete Information Databases.- A Fast Randomisation Test for Rule Significance.- Ordinal Classification with Monotonicity Constraints by Variable Consistency Bagging.- Learnability in Rough Set Approaches.- Upper Bounds on Minimum Cardinality of Exact and Approximate Reducts.- An Extension of Rough Set Approximation to Flow Graph Based Data Analysis.- Credibility Coefficients Based on SVM.- On Algorithm for Building of Optimal ?-Decision Trees.- Layered Approximation Approach to Knowledge Elicitation in Machine Learning.- Multiagent Systems.- Configuration Management of Mobile Agents Based on SNMP.- Adaptive Immunity-Based Multiagent Systems (AIBMAS) Inspired by the Idiotypic Network.- Distributed Default Logic for Context-Aware Computing in Multi-Agent Systems.- A Novel Approach to Default Reasoning for MAS.- A Platform for the Evaluation of Automated Argumentation Strategies.- Emerging Intelligent Technologies and Net-Centric Applications.- Fuzzy Similarity-Based Relative Importance of MPEG-7 Visual Descriptors for Emotional Classification of Images.- The Impact of Recommendation Sources on the Adoption Intention of Microblogging Based on Dominance-based Rough Set Approach.- Fault Effects Analysis and Reporting System for Dependability Evaluation.- Solving the Reporting Cells Problem Using a Scatter Search Based Algorithm.- Learning Age and Gender Using Co-occurrence of Non-dictionary Words from Stylistic Variations.- Disturbance Measurement Utilization in Easily Reconfigurable Fuzzy Predictive Controllers: Sensor Fault Tolerance and Other Benefits.- Classification and Decision Support Applications.- Biometric-Based Authentication System Using Rough Set Theory.- Classification of Facial Photograph Sorting Performance Based on Verbal Descriptions.- Random Musical Bands Playing in Random Forests.- An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification.- DRSA Decision Algorithm Analysis in Stylometric Processing of Literary Texts.- Blind Music Timbre Source Isolation by Multi- resolution Comparison of Spectrum Signatures.- Rough Sets for Solving Classification Problems in Computational Neuroscience.- Towards Approximate SQL – Infobright’s Approach.- A Protein Classifier Based on SVM by Using the Voxel Based Descriptor.- Intelligent Methods in Optimization and Control.- Explicit Neural Network-Based Nonlinear Predictive Control with Low Computational Complexity.- Solution of the Inverse Heat Conduction Problem by Using the ABC Algorithm.- Application of Fuzzy Wiener Models in Efficient MPC Algorithms.- Multicriteria Subjective Reputation Management Model.- Application of Fuzzy Preference Based Rough Set Model to Condition Monitoring.- Graph-Based Optimization Method for Information Diffusion and Attack Durability in Networks.- Granularity and Granular Systems.- Paraconsistent and Approximate Semantics for the OWL 2 Web Ontology Language.- Representation of Granularity for Non-Euclidian Relational Data by Jaccard Coefficients and Binary Classifications.- Information Systems in Modeling Interactive Computations on Granules.- Distributed Representations to Detect Higher Order Term Correlations in Textual Content.