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Data Mining: Concepts, Models, Methods, and Algorithms (Record no. 7085)

MARC details
000 -LEADER
fixed length control field 02158nam a22002057a 4500
003 - CONTROL NUMBER IDENTIFIER
control field AIT
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230828173559.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230828b ii ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-1-119-51604-0
040 ## - CATALOGING SOURCE
Transcribing agency AIT
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74
Item number KAN
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kantardzic, Mehmed
9 (RLIN) 13537
245 ## - TITLE STATEMENT
Title Data Mining: Concepts, Models, Methods, and Algorithms
250 ## - EDITION STATEMENT
Edition statement 3rd ed
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Jersey,
Name of publisher, distributor, etc. John Wiley & Sons, Inc ;
Date of publication, distribution, etc. 2020.
300 ## - PHYSICAL DESCRIPTION
Extent xix, 639 p.
520 ## - SUMMARY, ETC.
Summary, etc. Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces<br/><br/>The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author―a noted expert on the topic―explains the basic concepts, models, and methodologies that have been developed in recent years.<br/><br/>This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that:<br/><br/>• Explores big data and cloud computing<br/><br/>• Examines deep learning<br/><br/>• Includes information on convolutional neural networks (CNN)<br/><br/>• Offers reinforcement learning<br/><br/>• Contains semi-supervised learning and S3VM<br/><br/>• Reviews model evaluation for unbalanced data<br/><br/>Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining I MCA
9 (RLIN) 13538
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type MCA Books
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Department Bill Number Bill Date Discount %
    Dewey Decimal Classification     Atria Institute of Technology Atria Institute of Technology 18/08/2023 Book Paradise Bill No: 96725 dtd: 18/07/2023   005.74 HAN MCA01260 28/08/2023 28/08/2023 MCA Books   96725 08-08-2023 10%