Big data, mining, and analytics : (Record no. 39397)

MARC details
000 -LEADER
fixed length control field 03415nam a2200421 i 4500
001 - CONTROL NUMBER
control field 33623
003 - CONTROL NUMBER IDENTIFIER
control field BD-DhAAL
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211109100223.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180808r20182014flua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2013049469
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781466568709 (hardback)
International Standard Book Number 1466568704 (hardback)
International Standard Book Number 9781138494206 (pbk)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency DLC
-- BD-DhAAL
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD30.28
Item number .B544 2014
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.4012
Edition number 23
245 00 - TITLE STATEMENT
Title Big data, mining, and analytics :
Remainder of title components of strategic decision making /
Statement of responsibility, etc Stephan Kudyba ; foreword by Thomas H. Davenport
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton :
Name of publisher, distributor, etc Taylor & Francis,
Date of publication, distribution, etc 2018 [reprinted]
300 ## - PHYSICAL DESCRIPTION
Extent xv, 305 pages :
Other physical details some color illustrations ;
Dimensions 25 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "Foreword Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the "small data" era (including Capital One bank, Progressive Insurance, and Marriott hotels) moved out ahead of their competitors and built a sizable competitive edge, the time is now for firms to seize the big data opportunity. As this book describes, the potential of big data is enabled by ubiquitous computing and data gathering devices; sensors and microprocessors will soon be everywhere. Virtually every mechanical or electronic device can leave a trail that describes its performance, location, or state. These devices, and the people who use them, communicate through the Internet--which leads to another vast data source. When all these bits are combined with those from other media--wireless and wired telephony, cable, satellite, and so forth--the future of data appears even bigger. The availability of all this data means that virtually every business or organizational activity can be viewed as a big data problem or initiative. Manufacturing, in which most machines already have one or more microprocessors, is increasingly a big data environment. Consumer marketing, with myriad customer touchpoints and clickstreams, is already a big data problem. Google has even described its self-driving car as a big data project. Big data is undeniably a big deal, but it needs to be put in context"--
526 ## - STUDY PROGRAM INFORMATION NOTE
Program name CSE
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Strategic planning
General subdivision Data processing.
9 (RLIN) 27755
Topical term or geographic name as entry element Data mining.
9 (RLIN) 27756
Topical term or geographic name as entry element Big data.
9 (RLIN) 27757
Topical term or geographic name as entry element Business planning
General subdivision Data processing.
9 (RLIN) 27758
Topical term or geographic name as entry element Webometrics.
9 (RLIN) 27759
Topical term or geographic name as entry element Data loggers.
9 (RLIN) 27760
Topical term or geographic name as entry element Computer science.
9 (RLIN) 42451
Topical term or geographic name as entry element COMPUTERS / Database Management / General.
Source of heading or term bisacsh
9 (RLIN) 27761
Topical term or geographic name as entry element COMPUTERS / Database Management / Data Mining.
Source of heading or term bisacsh
9 (RLIN) 27762
Topical term or geographic name as entry element COMPUTERS / Information Technology.
Source of heading or term bisacsh
9 (RLIN) 27763
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kudyba, Stephan,
Dates associated with a name 1963-
9 (RLIN) 27764
852 ## - LOCATION/CALL NUMBER
Location Ayesha Abed Library
Shelving location General Stacks
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date last borrowed Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Ayesha Abed Library Ayesha Abed Library General Stacks 29/07/2018 Karim International 2434.60 1 8 658.4012 BIG 3010033623 10/08/2022 01/06/2022 1 2434.60 29/07/2018 Book