Mining Complex Data

Session A1.- Using Text Mining and Link Analysis for Software Mining.- Generalization-Based Similarity for Conceptual Clustering.- Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining.- Session A2.- Conceptual Clustering Applied to Ontologies.- Feature Selection: Near Set Approach.- Evaluating Accuracies of a Trading Rule Mining Method Based on Temporal Pattern Extraction.- Session A3.- Discovering Word Meanings Based on Frequent Termsets.- Quality of Musical Instrument Sound Identification for Various Levels of Accompanying Sounds.- Discriminant Feature Analysis for Music Timbre Recognition and Automatic Indexing.- Session A4.- Contextual Adaptive Clustering of Web and Text Documents with Personalization.- Improving Boosting by Exploiting Former Assumptions.- Discovery of Frequent Graph Patterns that Consist of the Vertices with the Complex Structures.- Session B1.- Finding Composite Episodes.- Ordinal Classification with Decision Rules.- Data Mining of Multi-categorized Data.- ARAS: Action Rules Discovery Based on Agglomerative Strategy.- Session B2.- Learning to Order: A Relational Approach.- Using Semantic Distance in a Content-Based Heterogeneous Information Retrieval System.- Using Secondary Knowledge to Support Decision Tree Classification of Retrospective Clinical Data.- POM Centric Multi-aspect Data Analysis for Investigating Human Problem Solving Function.