Data Mining : Theory, Methodology, Techniques, and Applications / edited by Graham J. Williams, Simeon J. Simoff.

Format:

Book

Contributor:

Williams, Graham J., editor.

Simoff, Simeon J., 1962- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 3755.

Lecture Notes in Artificial Intelligence ; 3755

Language:

English

Subjects (All):

Database management.

Artificial intelligence.

Computers.

Information storage and retrieval.

Pattern perception.

Database Management.

Artificial Intelligence.

Computation by Abstract Devices.

Information Storage and Retrieval.

Pattern Recognition.

Local Subjects:

Database Management.

Artificial Intelligence.

Computation by Abstract Devices.

Information Storage and Retrieval.

Pattern Recognition.

Physical Description:

1 online resource (XI, 331 pages).

Edition:

First edition 2006.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.

System Details:

text file PDF

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-540-32548-2

9783540325482

Access Restriction:

Restricted for use by site license.