Data Mining Theory, Methodology, Techniques, and Applications /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Williams, Graham J. (Editor ), Simoff, Simeon J. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Lecture Notes in Artificial Intelligence, 3755
Temas:
Database management.
Artificial intelligence.
Computer science.
Information storage and retrieval systems.
Pattern recognition systems.
Database Management.
Artificial Intelligence.
Theory of Computation.
Information Storage and Retrieval.
Automated Pattern Recognition.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 1: State-of-the-Art in Research
  • Generality Is Predictive of Prediction Accuracy
  • Visualisation and Exploration of Scientific Data Using Graphs
  • A Case-Based Data Mining Platform
  • Consolidated Trees: An Analysis of Structural Convergence
  • K Nearest Neighbor Edition to Guide Classification Tree Learning: Motivation and Experimental Results
  • Efficiently Identifying Exploratory Rules' Significance
  • Mining Value-Based Item Packages - An Integer Programming Approach
  • Decision Theoretic Fusion Framework for Actionability Using Data Mining on an Embedded System
  • Use of Data Mining in System Development Life Cycle
  • Mining MOUCLAS Patterns and Jumping MOUCLAS Patterns to Construct Classifiers
  • A Probabilistic Geocoding System Utilising a Parcel Based Address File
  • Decision Models for Record Linkage
  • Intelligent Document Filter for the Internet
  • Informing the Curious Negotiator: Automatic News Extraction from the Internet
  • Text Mining for Insurance Claim Cost Prediction
  • An Application of Time-Changing Feature Selection
  • A Data Mining Approach to Analyze the Effect of Cognitive Style and Subjective Emotion on the Accuracy of Time-Series Forecasting
  • A Multi-level Framework for the Analysis of Sequential Data
  • 2: State-of-the-Art in Applications
  • Hierarchical Hidden Markov Models: An Application to Health Insurance Data
  • Identifying Risk Groups Associated with Colorectal Cancer
  • Mining Quantitative Association Rules in Protein Sequences
  • Mining X-Ray Images of SARS Patients
  • The Scamseek Project - Text Mining for Financial Scams on the Internet
  • A Data Mining Approach for Branch and ATM Site Evaluation
  • The Effectiveness of Positive Data Sharing in Controlling the Growth of Indebtedness in Hong Kong Credit Card Industry.

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