Data Mining and Knowledge Discovery Handbook

Lior Rokach (Editor), Oded Maimon (Editor)

Research output: Book/ReportBookpeer-review

Abstract

Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data.

Data Mining and Knowledge Discovery Handbook, Second Edition organizes the most current concepts, theories, standards, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This handbook first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security.

Data Mining and Knowledge Discovery Handbook, Second Edition is designed for research scientists, libraries and advanced-level students in computer science and engineering as a reference. This handbook is also suitable for professionals in industry, for computing applications, information systems management, and strategic research management.
Original languageEnglish
Place of PublicationNew York
PublisherSpringer
Number of pages1285
EditionSecond
ISBN (Electronic)9780387098234
ISBN (Print)978-0-387-09822-7
DOIs
StatePublished - 2010

Publication series

NameData Mining and Knowledge Discovery Handbook: , ISBN 978-0-387-09822-7. Springer Science+Business Media, LLC, 2010

Fingerprint

Dive into the research topics of 'Data Mining and Knowledge Discovery Handbook'. Together they form a unique fingerprint.

Cite this