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Data mining and data warehousing : (Record no. 9395)

MARC details
000 -LEADER
fixed length control field 02061cam a2200277 i 4500
001 - CONTROL NUMBER
control field 20922191
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250320020011.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190403s2019 enka b 001 0 eng c
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2019013358
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108727747
040 ## - CATALOGING SOURCE
Original cataloging agency LBSOR/DLC
Language of cataloging eng
Description conventions rda
Transcribing agency LBSOR
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D343
Item number B43 2019
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/12
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bhatia, Parteek,
Relator term author.
9 (RLIN) 27301
245 10 - TITLE STATEMENT
Title Data mining and data warehousing :
Remainder of title principles and practical techniques /
Statement of responsibility, etc Parteek Bhatia.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York:
Name of publisher, distributor, etc Cambridge University Press,
Date of publication, distribution, etc C2019
300 ## - PHYSICAL DESCRIPTION
Extent xxxiv, 477 pages :
Other physical details illustrations (some color) ;
Dimensions 24 cm
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "This textbook is written to cater to the needs of undergraduate students of computer science, engineering, and information technology for a course on data mining and data warehousing. It brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models, and NoSQL are discussed in detail. Unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
Form subdivision Textbooks.
9 (RLIN) 27302
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data warehousing
Form subdivision Textbooks.
9 (RLIN) 27303
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Item type Books
Classification part QA76.9.D343
Call number prefix QA76.9.D343
Call number suffix B43 2019
Koha issues (borrowed), all copies 3
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 Inventory number Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type Total Renewals Checked out Date last borrowed
    Library of Congress Classification     Non-fiction Zetech Library - Mang'u Campus Zetech Library - Mang'u Campus General Stacks 05/11/2024 10565   QA76.9 .D343 .B43 2019 Z012291 10/01/2025 C1 02/12/2024 Books      
    Library of Congress Classification     Non-fiction Zetech Library - Ruiru Campus Zetech Library - Ruiru Campus General Stacks 05/11/2024 10564 3 QA76.9 .D343 .B43 2019 Z012290 19/03/2025 C2 02/12/2024 Books 5 17/05/2025 19/03/2025