Data mining and knowledge discovery handbook - Info and Reading Options
By Oded Z. Maimon and Lior Rokach
"Data mining and knowledge discovery handbook" was published by Springer in 2005 - New York, it has 1383 pages and the language of the book is English.
“Data mining and knowledge discovery handbook” Metadata:
- Title: ➤ Data mining and knowledge discovery handbook
- Authors: Oded Z. MaimonLior Rokach
- Language: English
- Number of Pages: 1383
- Publisher: Springer
- Publish Date: 2005
- Publish Location: New York
“Data mining and knowledge discovery handbook” Subjects and Themes:
- Subjects: ➤ Handbooks, manuals - Knowledge acquisition (Expert systems) - Data mining - Computer science - Computer Communication Networks - Database management - Information storage and retrieval systems - Multimedia systems - Data Mining and Knowledge Discovery - Information Storage and Retrieval - Multimedia Information Systems - Data Storage Representation
Edition Specifications:
- Pagination: xxxv, 1383 p. :
Edition Identifiers:
- The Open Library ID: OL19292144M - OL18463752W
- Online Computer Library Center (OCLC) ID: 59011453
- Library of Congress Control Number (LCCN): 2005042640
- ISBN-13: 9780387244358 - 9780387254654
- ISBN-10: 0387244352 - 038725465X
- All ISBNs: 0387244352 - 038725465X - 9780387244358 - 9780387254654
AI-generated Review of “Data mining and knowledge discovery handbook”:
"Data mining and knowledge discovery handbook" Description:
The Open Library:
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book 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 is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
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