Data mining techniques (Record no. 6576)

MARC details
000 -LEADER
fixed length control field 00432nam a2200169Ia 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20181103101935.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181025s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-81-7371-884-7
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title ENG
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 6.312
Item number PUJ
Edition number DDC23
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Pujari, Arun K.
245 #0 - TITLE STATEMENT
Title Data mining techniques
250 ## - EDITION STATEMENT
Edition statement 3rd
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Hyderabad
Name of publisher, distributor, etc. University Press
Date of publication, distribution, etc. 2001
300 ## - PHYSICAL DESCRIPTION
Extent 366 p.
Other physical details | Binding - Paperback |
521 ## - TARGET AUDIENCE NOTE
Target audience note Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms. The book contains the algorithmic details of different techniques such as Apriori, Pincer-search, Dynamic Itemset Counting, FP-Tree growth, SLIQ, SPRINT, BOAT, CART, RainForest, BIRCH, CURE, BUBBLE, ROCK, STIRR, PAM, CLARANS, DBSCAN, GSP, SPADE and SPIRIT. Interesting and recent developments such as support vector machines and rough set theory are also covered. The book also discusses the mining of web data, spatial data, temporal data and text data. The inclusion of well thought out illustrated examples for making the concepts clear to a first time reader makes the book suitable as a textbook for students of computer science, mathematical science and management science. It can also serve as a handbook for researchers in the area of data mining and data warehousing. In this edition, the chapter on data warehousing has been thoroughly revised and its scope of coverage expanded to include a detailed discussion on multidimensional data modelling and cube computation. The discussion on genetic algorithms too has been considerably expanded to bring to fore its applications in the context of data mining.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4622
Topical term or geographic name entry element Computer Engineering
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Date last checked out
    Dewey Decimal Classification   Not For Loan Reference School of Engineering & Technology School of Engineering & Technology Reference Section 21/09/2015 Medico's Book Aid 375.00   006.312 PUJ E11475 25/06/2025 25/10/2018 Books  
    Dewey Decimal Classification     Circulation School of Engineering & Technology School of Engineering & Technology General Stacks 21/09/2015 Medico's Book Aid 375.00   006.312 PUJ E11476 24/06/2025 25/10/2018 Books  
    Dewey Decimal Classification     Circulation School of Engineering & Technology School of Engineering & Technology General Stacks 21/09/2015 Medico's Book Aid 375.00 1 006.312 PUJ E11477 24/06/2025 25/10/2018 Books 03/12/2019
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