Rough Sets and Current Trends in Computing

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.