Knowledge Discovery and Data Mining
The Info-Fuzzy Network (IFN) Methodology
by Oded Maimon
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. Audience: This book is intended to be used by researchers in the field of information systems, engineering, computer science, statistics, and management who are searching for a unified theoretical approach to the knowledge discovery process. The book can also serve as a reference book for courses on data mining, machine learning, and databases.
Check nearby libraries
Buy this book
Previews available in: English
| Edition | Availability |
|---|---|
1
Knowledge Discovery and Data Mining: The Info-Fuzzy Network (IFN) Methodology
2001, Springer US
electronic resource :
in English
1441948422 9781441948427
|
aaaa
|
Book Details
Edition Notes
Online full text is restricted to subscribers.
Also available in print.
Mode of access: World Wide Web.
Classifications
The Physical Object
Edition Identifiers
Work Identifiers
Community Reviews (0)
Lists
See All
| December 29, 2021 | Edited by ImportBot | import existing book |
| July 4, 2019 | Created by MARC Bot | import new book |