Mining Complex Data ECML/PKDD 2007 Third International Workshop, MCD 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Raś, Zbigniew W. (Editor), Tsumoto, Shusaku (Editor), Zighed, Djamel (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Lecture Notes in Computer Science, 4944
• Subjects: Computer science.; Data structures (Computer science).; Data mining.; Information storage and retrieval.; Computer Science.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Data Structures.; Data Storage Representation.

This book constitutes the refereed proceedings of the Third International Workshop on Mining Complex Data, MCD 2007, held in Warsaw, Poland, in September 2007, co-located with ECML and PKDD 2007. The 20 revised full papers presented were carefully reviewed and selected; they present original results...

Table of Contents:

• 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.