Data mining and analysis : (Record no. 13584)

MARC details
000 -LEADER
fixed length control field 01524nam a2200193Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520102719.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250520s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780521766333
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA 76.9 .D343 .Z35 2014
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Zaki, Mohammed J.
Relator term author
245 #0 - TITLE STATEMENT
Title Data mining and analysis :
Remainder of title fundamental concepts and algorithms /
Statement of responsibility, etc. Mohammed J. Zaki
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. c2014
300 ## - PHYSICAL DESCRIPTION
Extent xi, 593 pages :
Other physical details illustrations ;
Dimensions 26 cm.
365 ## - TRADE PRICE
Price amount USD58.5
520 ## - SUMMARY, ETC.
Summary, etc. The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics. The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification. The book lays the basic foundations of these tasks, and also covers cutting-edge topics such as kernel methods, high-dimensional data analysis, and complex graphs and networks. With its comprehensive coverage, algorithmic perspective, and wealth of examples, this book offers solid guidance in data mining for students, researchers, and practitioners alike.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Gen. Ed. - CCIT LRC - Graduate Studies National University - Manila General Circulation 04/15/2015 Purchased - Amazon 58.50   GC QA 76.9 .D343 .Z35 2014 NULIB000011343 05/20/2025 c.1 05/20/2025 Books