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

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Ras, Zbigniew W. (Editor ), Tsumoto, Shusaku (Editor ), Zighed, Djamel A. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Lecture Notes in Artificial Intelligence, 4944
Temas:
Data mining.
Information storage and retrieval systems.
Artificial intelligence-Data processing.
Information retrieval.
Computer architecture.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Data Science.
Data Storage Representation.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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