Active Mining Second International Workshop, AM 2003, Maebashi, Japan, October 28, 2003, Revised Selected Papers /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Tsumoto, Shusaku (Editor ), Yamaguchi, Takahira (Editor ), Numao, Masayuki (Editor ), Motoda, Hiroshi (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Lecture Notes in Artificial Intelligence, 3430
Temas:
Database management.
Artificial intelligence.
Algorithms.
Medical informatics.
Bioinformatics.
Database Management.
Artificial Intelligence.
Health Informatics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Overview
  • Active Mining Project: Overview
  • Tutorial Papers
  • Computational and Statistical Methods in Bioinformatics
  • Indexing and Mining Audiovisual Data
  • Active Information Collection
  • Relevance Feedback Document Retrieval Using Support Vector Machines
  • Micro View and Macro View Approaches to Discovered Rule Filtering
  • Mining Chemical Compound Structure Data Using Inductive Logic Programming
  • First-Order Rule Mining by Using Graphs Created from Temporal Medical Data
  • Active Data Mining
  • Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction
  • Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI
  • Investigation of Rule Interestingness in Medical Data Mining
  • Experimental Evaluation of Time-Series Decision Tree
  • Spiral Multi-aspect Hepatitis Data Mining
  • Sentence Role Identification in Medline Abstracts: Training Classifier with Structured Abstracts
  • CHASE 2 - Rule Based Chase Algorithm for Information Systems of Type ?
  • Active User Reaction
  • Empirical Comparison of Clustering Methods for Long Time-Series Databases
  • Spiral Mining Using Attributes from 3D Molecular Structures
  • Classification of Pharmacological Activity of Drugs Using Support Vector Machine
  • Cooperative Scenario Mining from Blood Test Data of Hepatitis B and C
  • Integrated Mining for Cancer Incidence Factors from Healthcare Data.

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