Data mining with decision trees: theory and applications (Record no. 162014)

000 -LEADER
fixed length control field 02512 a2200265 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140323b2008 xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789812771711
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Rokach, Lior
9 (RLIN) 57330
245 ## - TITLE STATEMENT
Title Data mining with decision trees: theory and applications
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. New Jersey
Name of publisher, distributor, etc. World Scientific Publishing Co. Pvt. Ltd.
Date of publication, distribution, etc. 2008
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 244 p
365 ## - TRADE PRICE
Price amount USD 87.00
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Series in machine perception and artificial intelligence; v.
9 (RLIN) 57331
500 ## - GENERAL NOTE
General note Includes bibliographical references and index
520 ## - SUMMARY, ETC.
Summary, etc. This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order to discover useful patterns. The area is of great importance because it enables modeling and knowledge extraction from the abundance of data available. Both theoreticians and practitioners are continually seeking techniques to make the process more efficient, cost-effective and accurate. Decision trees, originally implemented in decision theory and statistics, are highly effective tools in other areas such as data mining, text mining, information extraction, machine learning, and pattern recognition. This book invites readers to explore the many benefits in data mining that decision trees offer: 1. Self-explanatory and easy to follow when compacted 2. Able to handle a variety of input data: nominal, numeric and textual 3. Able to process datasets that may have errors or missing values 4. High predictive performance for a relatively small computational effort 5. Available in many data mining packages over a variety of platforms 6. Useful for various tasks, such as classification, regression, clustering and feature selection. Source: http://search.barnesandnoble.com
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
9 (RLIN) 56428
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Decision trees
9 (RLIN) 57332
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
9 (RLIN) 57333
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Decision support systems
9 (RLIN) 56316
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Maimon, Oded
9 (RLIN) 57334
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
-- 26/02/2009
-- 0.00
-- USD
-- Himanshu Book Co.
-- 98575
-- 20.00%
-- 87.00
-- 4480.50
-- 24/02/2009
-- 24/02/2009
-- 280835
-- Approval
-- Prof. Venkata Rao V
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Item location Total Checkouts Full call number Barcode Date last seen Date checked out Cost, replacement price Price effective from Koha item type
        Vikram Sarabhai Library Vikram Sarabhai Library   2010-04-18 Slot 105 (0 Floor, West Wing) 1 006.312 R6D2 167396 2017-06-30 2017-06-13 4480.50 2010-04-19 Books

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