Knowledge Discovery and Data Mining
Subtitle: The Info-Fuzzy Network (IFN) Methodology
By: by Oded Maimon, Mark Last
Contributors: Last, Mark
Series: Massive Computing -- 1; Massive computing -- 1.
Publisher: Springer US
Published: 2001
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] :
Number of pages: 168
ISBN-13: 9781441948427; 9781475732962
Subjects: Statistics; Symbolic and mathematical Logic; Computer science; Coding theory; Artificial intelligence; Data structures (Computer science)
Description: 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.
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