E-grāmata: Advances in Knowledge Discovery and Management

Supervised Learning and Information Retrieval.- Discrepancy Analysis of Complex Objects Using Dissimilarities.- A Bayes Evaluation Criterion for Decision Trees.- Classifying Very-High-Dimensional Data with Random Forests of Oblique Decision Trees.- Intensive Use of Correspondence Analysis for Large Scale Content-Based Image Retrieval.- Toward a Better Integration of Spatial Relations in Learning with Graphical Models.- Unsupervised Learning.- Multigranular Manipulations for OLAP Querying.- A New Approach for Unsupervised Classification in Image Segmentation.- Cluster-Dependent Feature Selection through a Weighted Learning Paradigm.- Two Variants of the OKM for Overlapping Clustering.- A Stable Decomposition Algorithm for Dynamic Social Network Analysis.- Security and Data Streaming.- An Hybrid Data Stream Summarizing Approach by Sampling and Clustering.- SPAMS: A Novel Incremental Approach for Sequential Pattern Mining in Data Streams.- Mining Common Outliers for Intrusion Detection.- Intrusion Detections in Collaborative Organizations by Preserving Privacy.- Ontologies and Semantic.- Alignment-Based Partitioning of Large-Scale Ontologies.- Learning Ontologies with Deep Class Hierarchies by Mining the Content of Relational Databases.- Semantic Analysis for the Geospatial Semantic Web.- Statistically Valid Links and Anti-links BetweenWords and Between Documents: Applying TourneBool Randomization Test to a Reuters Collection.