Knowledge discovery and data mining : the info-fuzzy network (IFN) methodology

Resource Information

The work Knowledge discovery and data mining : the info-fuzzy network (IFN) methodology represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.

Label

Knowledge discovery and data mining : the info-fuzzy network (IFN) methodology

Title remainder

the info-fuzzy network (IFN) methodology

Statement of responsibility

by Oded Maimon and Mark Last

Creator

• Maimon, Oded

Contributor

• Last, Mark

Subject

• Data mining
• Database searching
• Fuzzy systems

Language

eng

Summary

This book presents a unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network. The IFN methodology handles a selection of the most relevant features, extraction of informative rules and patterns, and post-processing of the extracted knowledge. This book provides detailed descriptions of the IFN algorithms and discusses real-world case studies from several application domains including manufacturing, process engineering, health care, and education. In addition, the book describes the methodology of applications and compares the IFN performance to other data mining methods

Member of

• Massive computing, 1

Cataloging source

DLC

Dewey number

006.3

Illustrations

illustrations

Index

index present

LC call number

QA76.9.D343

LC item number

M35 2001

Literary form

non fiction

Nature of contents

bibliography

Series statement

Massive computing

Series volume

[v.1]