Data Mining Methods and Applications: 1st Edition (e-Book) book cover

Data Mining Methods and Applications

1st Edition

Edited by Kenneth D. Lawrence, Stephan Kudyba, Ronald K. Klimberg

Auerbach Publications

336 pages

Purchasing Options:$ = USD
Hardback: 9780849385223
pub: 2007-12-22
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pub: 2007-12-22
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Description

With today's information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage Employ data mining in research and forecasting Build models with data management

Table of Contents

TECHNIQUES OF DATA MINING

An Approach to Analyzing and Modeling Systems

for Real-Time Decisions

Ensemble Strategies for Neural Network Classifiers

Neural Network Classification with Uneven Misclassification

Costs and Imbalanced Group Sizes

Data Cleansing with Independent Component Analysis

A Multiple Criteria Approach to Creating Good Teams over Time

APPLICATIONS OF DATA MINING

Data Mining Applications in Higher Education

Data Mining for Market Segmentation with Market Share Data

A Case Study Approach

An Enhancement of the Pocket Algorithm

with Ratche for Use in Data Mining Applications

Identification and Prediction of Chronic Conditions

for Health Plan Members Using Data Mining Techniques

Monitoring and Managing Data and Process Quality

Using Data Mining: Business Process Management

for the Purchasing and Accounts Payable Processes

Data Mining for Individual Consumer Models and Personalized

Retail Promotions

OTHER AREAS OF DATA MINING

Data Mining Common Definitions, Applications,

and Misunderstandings

Fuzzy Sets in Data Mining and Ordinal Classification

Developing an Associative Keyword Space of the Data Mining

Literature through Latent Semantic Analysis

A Classification Model for a Two-Class (New Product Purchase)

Discrimination Process using Multiple-Criteria

Linear Programming

Index

Subject Categories

BISAC Subject Codes/Headings:
BUS083000
BUSINESS & ECONOMICS / Information Management
COM021000
COMPUTERS / Database Management / General
COM021030
COMPUTERS / Database Management / Data Mining