North South University Library OPAC

Statistical and machine-learning data mining : (Record no. 29066)

MARC details
000 -LEADER
fixed length control field 03541cam a2200433 a 4500
001 - CONTROL NUMBER
control field BD-DhNSU-29066
003 - CONTROL NUMBER IDENTIFIER
control field NSUL-eBook
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231019143230.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201018s2012 flua b b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2011014298
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439860915
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-1-4398-6092-2 (eBook)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency BD-DhNSU
Modifying agency BD-DhNSU
041 ## - LANGUAGE CODE
Language code of text eng
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HF5415.126
Item number .B78 2011
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.8/72
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ratner, Bruce.
245 10 - TITLE STATEMENT
Title Statistical and machine-learning data mining :
Remainder of title techniques for better predictive modeling and analysis of big data /
Statement of responsibility, etc Bruce Ratner.
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boca Raton :
Name of producer, publisher, distributor, manufacturer CRC Press,
Date of production, publication, distribution, manufacture, or copyright notice c2011
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xxv, 516 p.)
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term computer
Media type code c
500 ## - GENERAL NOTE
General note Rev. ed. of: Statistical modeling and analysis for database marketing. c2003.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data, contained 17 chapters of innovative and practical statistical data mining techniques. In this second edition, renamed to reflect the increased coverage of machine-learning data mining techniques, the author has completely revised, reorganized, and repositioned the original chapters and produced 14 new chapters of creative and useful machine-learning data mining techniques. In sum, the 31 chapters of simple yet insightful quantitative techniques make this book unique in the field of data mining literature.<br/><br/><br/>The statistical data mining methods effectively consider big data for identifying structures (variables) with the appropriate predictive power in order to yield reliable and robust large-scale statistical models and analyses. In contrast, the author's own GenIQ Model provides machine-learning solutions to common and virtually unapproachable statistical problems. GenIQ makes this possible — its utilitarian data mining features start where statistical data mining stops.<br/><br/><br/>This book contains essays offering detailed background, discussion, and illustration of specific methods for solving the most commonly experienced problems in predictive modeling and analysis of big data. They address each methodology and assign its application to a specific type of problem. To better ground readers, the book provides an in-depth discussion of the basic methodologies of predictive modeling and analysis. While this type of overview has been attempted before, this approach offers a truly nitty-gritty, step-by-step method that both tyros and experts in the field can enjoy playing with.
526 0# - STUDY PROGRAM INFORMATION NOTE
Program name Mathematics, Physics & Statistics
590 ## - LOCAL NOTE (RLIN)
Documentalist Md. Abdul Hakim
590 ## - LOCAL NOTE (RLIN)
Documentalist Miron Khan
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Database marketing
General subdivision Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining
General subdivision Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data
General subdivision Statistical methods.
655 #7 - INDEX TERM--GENRE/FORM
Source of term local
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ratner, Bruce.
Relator term author
856 40 - ELECTRONIC LOCATION AND ACCESS
Public note Full text available:
Materials specified ◉ login required
Uniform Resource Identifier https://opac.northsouth.edu/cgi-bin/koha/opac-retrieve-file.pl?id=1f2ff6074937f81c2bd888037babdb0f
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme lcc
Koha item type EBOOK
999 ## - SYSTEM CONTROL NUMBERS (KOHA)
-- 29066
-- 29066
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Code Permanent Location Current Location Shelving location DATE acquired (DATE Received) Call Number Barcode (Accession #) Date last seen Copy number Bill Date Item type
    lcc   Not For Loan Non-fiction North South University Library North South University Library Online 2020-10-18 HF5415.126.R38 2011 500010094 2020-10-18 1 2020-10-18 eBook (Electronic Book)
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