Rough Sets and Current Trends in Computing Third International Conference, RSCTC 2002, Malvern, PA, USA, October 14-16, 2002. Proceedings /

This volume contains the papers selected for presentation at the Third Inter- tional Conference on Rough Sets and Current Trends in Computing (RSCTC 2002) held at Penn State Great Valley, Malvern, Pennsylvania, U.S.A., 14-16 October 2002. Rough set theoryand its applications constitute a branch of s...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Alpigini, James J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Peters, James F. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Skowron, Andrzeij (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zhong, Ning (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
Έκδοση:1st ed. 2002.
Σειρά:Lecture Notes in Artificial Intelligence ; 2475
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Keynote Papers
  • In Pursuit of Patterns in Data Reasoning from Data - The Rough Set Way
  • Toward a Theory of Hierarchical Definability (THD)
  • Plenary Papers
  • Modelling Biological Phenomena with Rough Sets
  • Database Mining on Derived Attributes Granular and Rough Computing Approach
  • A Proposed Evolutionary, Self-Organizing Automaton for the Control of Dynamic Systems
  • Rough Set Analysis of Preference-Ordered Data
  • Fuzzy Sets, Multi-valued Mappings, and Rough Sets
  • Foundations and Methods I
  • Investigating the Choice of l and u Values in the Extended Variable Precision Rough Sets Model
  • A Quantitative Analysis of Preclusivity vs. Similarity Based Rough Approximations
  • Heyting Wajsberg Algebras as an Abstract Environment Linking Fuzzy and Rough Sets
  • Dominance-Based Rough Set Approach Using Possibility and Necessity Measures
  • Generalized Decision Algorithms, Rough Inference Rules, and Flow Graphs
  • Generalized Rough Sets and Rule Extraction
  • Towards a Mereological System for Direct Products and Relations
  • On the Structure of Rough Approximations
  • Modification of Weights of Conflict Profile's Elements and Dependencies of Attributes in Consensus Model
  • Reasoning about Information Granules Based on Rough Logic
  • Foundations and Methods II
  • A Rough Set Framework for Learning in a Directed Acyclic Graph
  • On Compressible Information Systems
  • Functional Dependencies in Relational Expressions Based on Or-Sets
  • On Asymptotic Properties of Rough- Set- Theoretic Approximations. Fractal Dimension, Exact Sets, and Rough Inclusion in Potentially Infinite Information Systems
  • About Tolerance and Similarity Relations in Information Systems
  • Rough Sets, Guarded Command Language, and Decision Rules
  • Collaborative Query Processing in DKS Controlled by Reducts
  • A New Method for Determining of Extensions and Restrictions of Information Systems
  • A Logic Programming Framework for Rough Sets
  • Attribute Core of Decision Table
  • Foundations and Methods III
  • Signal Analysis Using Rough Integrals
  • How Much Privacy? - A System to Safe Guard Personal Privacy while Releasing Databases
  • Rough Clustering: An Alternative to Find Meaningful Clusters by Using the Reducts from a Dataset
  • Concept Learning with Approximation: Rough Version Spaces
  • Variable Consistency Monotonic Decision Trees
  • Importance and Interaction of Conditions in Decision Rules
  • Time Complexity of Rough Clustering: GAs versus K-Means
  • Induction of Decision Rules and Classification in the Valued Tolerance Approach
  • Time Series Model Mining with Similarity-Based Neuro-fuzzy Networks and Genetic Algorithms: A Parallel Implementation
  • Granular and Neuro Computing
  • Closeness of Performance Map Information Granules: A Rough Set Approach
  • Granular Computing on Binary Relations Analysis of Conflict and Chinese Wall Security Policy
  • Measures of Inclusion and Closeness of Information Granules: A Rough Set Approach
  • Rough Neurocomputing: A Survey of Basic Models of Neurocomputation
  • Rough Neurocomputing Based on Hierarchical Classifiers
  • Using Granular Objects in Multi-source Data Fusion
  • Induction of Classification Rules by Granular Computing
  • Probabilistic Reasoning
  • Acquisition Methods for Contextual Weak Independence
  • A Method for Detecting Context-Specific Independence in Conditional Probability Tables
  • Properties of Weak Conditional Independence
  • A Proposal of Probability of Rough Event Based on Probability of Fuzzy Event
  • Approximate Bayesian Network Classifiers
  • Accuracy and Coverage in Rough Set Rule Induction
  • Statistical Test for Rough Set Approximation Based on Fisher's Exact Test
  • Triangulation of Bayesian Networks: A Relational Database Perspective
  • Data Mining, Machine Learning, and Pattern Recognition
  • A New Version of Rough Set Exploration System
  • Local Attribute Value Grouping for Lazy Rule Induction
  • Incomplete Data Decomposition for Classification
  • Extension of Relational Management Systems with Data Mining Capabilities
  • Reducing Number of Decision Rules by Joining
  • Scalable Classification Method Based on Rough Sets
  • Parallel Data Mining Experimentation Using Flexible Configurations
  • An Optimization of Apriori Algorithm through the Usage of Parallel I/O and Hints
  • Patterns in Information Maps
  • Discernibility Matrix Approach to Exception Analysis
  • Gastric Cancer Data Mining with Ordered Information
  • Web Mining
  • A Granular Approach for Analyzing the Degree of Affability of a Web Site
  • Comparison of Classification Methods for Customer Attrition Analysis
  • User Profile Model: A View from Artificial Intelligence
  • Mining the Client's Life Cycle Behaviour in the Web
  • PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques
  • VPRSM Approach to WEB Searching
  • Applications I
  • Rough Set Approach to the Survival Analysis
  • The Identification of Low-Paying Workplaces: An Analysis Using the Variable Precision Rough Sets Model
  • A Search for the Best Data Mining Method to Predict Melanoma
  • Towards the Classification of Musical Works: A Rough Set Approach
  • Segmentation of Medical Images Based on Approximations in Rough Set Theory
  • Adaptive Robust Estimation for Filtering Motion Vectors
  • Rough Set Feature Selection and Diagnostic Rule Generation for Industrial Applications
  • Applications II
  • ?-Connected Approximations for Rough Sets
  • Adaptive Classifier Construction: An Approach to Handwritten Digit Recognition
  • The Application of Support Diagnose in Mitochondrial Encephalomyopathies
  • Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach
  • Rough Neural Network for Software Change Prediction
  • Handling Spatial Uncertainty in Binary Images: A Rough Set Based Approach
  • Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials
  • Rough Mereological Localization and Navigation.