Data Mining

Theory, Methodology, Techniques, and Applications

By: Graham J. Williams (Editor), Simeon J. Simoff (Editor)

Write A Review

Paperback | 20 February 2006

At a Glance

Paperback
352 Pages

Dimensions(cm)
23.39 x 15.6 x 1.85

Paperback

$84.99

or 4 interest-free payments of $21.25 with

Aims to ship in 7 to 10 business days

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 on works presented at the Australasian Data Mining conferences and industrial forums. Authors include some of Australia's leading researchers and practitioners in data mining. The volume also contains chapters by regional and international authors.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Data Capture & Analysis Computer Science Artificial Intelligence Computer Vision

Generality is predictive of prediction accuracy	p. 1
Visualisation and exploration of scientific data using graphs	p. 14
A case-based data mining platform	p. 28
Consolidated trees : an analysis of structural convergence	p. 39
K nearest neighbor edition to guide classification tree learning : motivation and experimental results	p. 53
Efficiently identifying exploratory rules' significance	p. 64
Mining value-based item packages - an integer programming approach	p. 78
Decision theoretic fusion framework for actionability using data mining on an embedded system	p. 90
Use of data mining in system development life cycle	p. 105
Mining MOUCLAS patterns and jumping MOUCLAS patterns to construct classifiers	p. 118
A probabilistic geocoding system utilising a parcel based address file	p. 130
Decision models for record linkage	p. 146
Intelligent document filter for the Internet	p. 161
Informing the curious negotiator : automatic news extraction from the Internet	p. 176
Text mining for insurance claim cost prediction	p. 192
An application of time-changing feature selection	p. 203
A data mining approach to analyze the effect of cognitive style and subjective emotion on the accuracy of time-series forecasting	p. 218
A multi-level framework for the analysis of sequential data	p. 229
Hierarchical hidden Markov models : an application to health insurance data	p. 244
Identifying risk groups associated with colorectal cancer	p. 260
Mining quantitative association rules in protein sequences	p. 273
Mining x-ray images of SARS patients	p. 282
The Scamseek project - text mining for financial scams on the Internet	p. 295
A data mining approach for branch and ATM site evaluation	p. 303
The effectiveness of positive data sharing in controlling the growth of indebtedness in Hong Kong credit card industry	p. 319
Table of Contents provided by Blackwell. All Rights Reserved.

Data Mining

Theory, Methodology, Techniques, and Applications

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Artificial Intelligence

AI Human Fusion

A non-techy human-first approach to AI for busy leaders

The New Age of Sexism

How the AI Revolution is Reinventing Misogyny

The Shortest History of AI

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3e

Concepts, Tools, and Techniques to Build Intelligent Systems

The AI-Driven Leader

Harnessing AI to Make Faster, Smarter Decisions

AI Engineering

Building Applications with Foundation Models

Co-Intelligence

Living and Working with AI

The Future of Hacking

The Rise of Cybercrime and the Fight to Keep Us Safe

Humanities in the Time of AI

Prompting Made Simple

How to Use ChatGPT and Unlock the Power of AI

Artificial Intelligence

A Modern Approach, 4th Global Edition

Applied Machine Learning for Data Science Practitioners

The AI Con

How To Fight Big Tech's Hype and Create the Future We Want

Think Python

How To Think Like a Computer Scientist

Artificial Intelligence For Dummies

For Dummies (Computer/Tech)

Scary Smart

The Future of Artificial Intelligence and How You Can Save Our World

Code Dependent

Living in the Shadow of AI

The ChatGPT Revolution

2nd Edition - Get Curious, Get Productive and Get Creative with AI

Introduction to Machine Learning with Python

A Guide for Data Scientists

Don't Make Me Think, Revisited

A Common Sense Approach to Web Usability

Mathematics for Machine Learning

Machine Learning Interviews

Kickstart Your Machine Learning Career

Practical MLOps

Operationalizing Machine Learning Models

AI Snake Oil

What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference

This product is categorised by