This book constitutes the refereed proceedings of the Third International Conference on Rough Sets and Knowledge Technology, RSKT 2008, held in Chengdu, China, in May 2008.
The 91 revised full papers papers presented together with 3 keynote papers and 6 tutorial papers were carefully reviewed and selected from 184 submissions. They all focus on five major research fields: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. The papers are organized in topical sections on rough and soft computing, rough mereology with applications, dominance-based rough set approach, fuzzy-rough hybridization, granular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinformatics and cognitive informatics, web intelligence, pattern recognition, and real-life applications of knowledge technology.
Klappentext
This volume contains the papers selected for presentation at the Third Inter- tional Conference on Rough Sets and Knowledge Technology (RSKT 2008) held in Chengdu, P. R. China, May 16-19, 2008. The RSKT conferences were initiated in 2006 in Chongqing, P. R. China. RSKT 2007 was held in Toronto, Canada, together with RSFDGrC 2007, as JRS 2007. The RSKT conferences aim to present state-of-the-art scienti?c - sults, encourage academic and industrial interaction, and promote collaborative research in rough sets and knowledge technology worldwide. They place emphasis on exploring synergies between rough sets and knowledge discovery, knowledge management, data mining, granular and soft computing as well as emerging application areas such as bioinformatics, cognitive informatics, and Web intel- gence, both at the level of theoretical foundations and real-life applications. RSKT 2008 focused on ?ve major research ?elds: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. This was achieved by including in the conference program sessions on rough and soft computing, rough mereology with app- cations, dominance-based rough set approach, fuzzy-rough hybridization, gr- ular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinform- ics and cognitive informatics, Web intelligence, pattern recognition, and real-life applications of knowledge technology. A very strict quality control policy was adopted in the paper review process of RSKT 2008. Firstly, the PC Chairs - viewed all submissions.
Inhalt
Keynote Papers.- Knowware: A Commodity Form of Knowledge.- Granular Computing in Multi-agent Systems.- Linguistic Dynamic Systems for Computing with Words and Granular Computing.- Tutorial Papers (Extended Abstracts).- Rough Set Approach to KDD (Extended Abstract).- Dominance-Based Rough Set Approach to Reasoning about Ordinal Data - A Tutorial.- Dominance-Based Rough Set Approach for Decision Analysis - A Tutorial.- to 3DM: Domain-Oriented Data-Driven Data Mining.- Granular Computing: Past, Present, and Future.- Rough Logics with Possible Applications to Approximate Reasoning.- Rough and Soft Computing.- A Comparison of Six Approaches to Discretization-A Rough Set Perspective.- Adaptive Classification with Jumping Emerging Patterns.- Two-Phase Rule Induction from Incomplete Data.- Comparison of Lazy Classification Algorithms Based on Deterministic and Inhibitory Decision Rules.- Consistency and Fuzziness in Ordered Decision Tables.- Fast Knowledge Reduction Algorithms Based on Quick Sort.- Multiple-Source Approximation Systems: Membership Functions and Indiscernibility.- Stability Analysis on Rough Set Based Feature Evaluation.- Apply a Rough Set-Based Classifier to Dependency Parsing.- Four-Valued Extension of Rough Sets.- A Note on Characteristic Combination Patterns about How to Combine Objects in Object-Oriented Rough Set Models.- Induced Intuitionistic Fuzzy Ordered Weighted Averaging Operator and Its Application to Multiple Attribute Group Decision Making.- Game-Theoretic Risk Analysis in Decision-Theoretic Rough Sets.- Multi-agent Based Multi-knowledge Acquisition Method for Rough Set.- Knowledge-Based Genetic Algorithms.- Dependent Uncertain Linguistic OWA Operator.- Efficient Gene Selection with Rough Sets from Gene Expression Data.- Rough Cluster Algorithm Based on Kernel Function.- New Reduction Algorithm Based on Decision Power of Decision Table.- A Heuristic Algorithm Based on Attribute Importance for Feature Selection.- Rough Mereology with Applications.- Rough Mereology in Analysis of Vagueness.- Reasoning about Concepts by Rough Mereological Logics.- On the Idea of Using Granular Rough Mereological Structures in Classification of Data.- On Classification of Data by Means of Rough Mereological Granules of Objects and Rules.- Rough Mereological Classifiers Obtained from Weak Variants of Rough Inclusions.- Color Image Interpolation Combined with Rough Sets Theory.- Dominance-Based Rough Set Approach.- Dominance-Based Rough Sets Using Indexed Blocks as Granules.- Algebraic Structures for Dominance-Based Rough Set Approach.- Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints.- Case-Based Reasoning Using Gradual Rules Induced from Dominance-Based Rough Approximations.- The Incremental Learning Methodology of VPRS Based on Complete Information System.- Fuzzy-Rough Hybridization.- Feature Selection with Fuzzy Decision Reducts.- Rough-Fuzzy Relational Clustering Algorithm for Biological Sequence Mining.- Rough-Fuzzy Clustering: An Application to Medical Imagery.- Roughness Measures of Intuitionistic Fuzzy Sets.- Intra-cluster Similarity Index Based on Fuzzy Rough Sets for Fuzzy C-Means Algorithm.- Granular Computing.- A New SVM-Based Decision Fusion Method Using Multiple Granular Windows for Protein Secondary Structure Prediction.- Hierarchical Clustering of Non-Euclidean Relational Data Using Indiscernibility-Level.- Online Granular Prediction Model for Web Prefetching.- Axiomatic Definition of Knowledge Granularity and Its Constructive Method.- Logical and Mathematical Foundations.- Intuitionistic Fuzzy Approximations and Intuitionistic Fuzzy Sigma-Algebras.- A Hierarchical Lattice Closure Approach to Abstract Rough Approximation Spaces.- A Unifying Abstract Approach for Rough Models.- Quorum Based Data Replication in Grid Environment.- On Non-pointwise Entropies of Coverings: Relationship with Anti-monotonicity.- A Family of Fuzzy Description Logics with Comparison Expressions.- Soft Sets and Soft Modules.- The Separation of Duty with Privilege Calculus.- Maximal Invariable Update Operator Based on Splitting.- Formal Concept Analysis.- A Novel Approach to Attribute Reduction in Formal Concept Lattices.- A Novel Deformation Framework for Face Modeling from a Few Control Points.- Ranking with Partial Orders and Pairwise Comparisons.- Combination and Decomposition Theories of Formal Contexts Based on Same Attribute Set.- An Approach for Constructing Concept Lattices.- Data Mining.- Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification Rules.- Description Logic Based Consistency Checking upon Data Mining Metadata.- LRLW-LSI: An Improved Latent Semantic Indexing (LSI) Text Classifier.- Multi-granularity Classification Rule Discovery Using ERID.- Feature Selection on Chinese Text Classification Using Character N-Grams.- Minimum Spanning Tree Based Spatial Outlier Mining and Its Applications.- A New Algorithm for High-Dimensional Outlier Detection Based on Constrained Particle Swarm Intelligence.- A New Decision Tree Construction Using the Cloud Transform and Rough Sets.- Improved Unsupervised Anomaly Detection Algorithm.- Applications of Average Geodesic Distance in Manifold Learning.- Fast Generation of Local Hasse Graphs for Learning from Str…