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Data mining : theory, methodology, techniques, and applications

Author: Graham J Williams; Simeon J Simoff
Publisher: Berlin ; New York : Springer, ©2006.
Series: Lecture notes in computer science, 3755.; Lecture notes in computer science., Lecture notes in artificial intelligence.; Lecture notes in computer science., State-of-the-art survey.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

This volume provides a snapshot of the current state of the art in data mining, presenting it both in terms of technical developments and industrial applications. The collection of chapters is based  Read more...

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Additional Physical Format: Online version:
Data mining.
Berlin ; New York : Springer, ©2006
(OCoLC)607870767
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Graham J Williams; Simeon J Simoff
ISBN: 3540325476 9783540325475
OCLC Number: 65188903
Notes: Chapters based on the works presented at the Australasian data mining conference series and industry forums.
Description: xi, 329 pages : illustrations ; 24 cm.
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.
Series Title: Lecture notes in computer science, 3755.; Lecture notes in computer science., Lecture notes in artificial intelligence.; Lecture notes in computer science., State-of-the-art survey.
Responsibility: Graham J. Williams, Simeon J. Simoff (eds.).
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