Social Media Data Mining and Analytics / (Record no. 31829)

MARC details
000 -LEADER
fixed length control field 02275nam a2200301Ia 4500
001 - CONTROL NUMBER
control field 43110
003 - CONTROL NUMBER IDENTIFIER
control field IN-BdCUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230421155252.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230413s2023 000 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118824856
040 ## - CATALOGING SOURCE
Language of cataloging eng
Transcribing agency IN-BdCUP
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.83402856312
Item number SZA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Szabo, Gabor
Relator term Editor
245 #0 - TITLE STATEMENT
Title Social Media Data Mining and Analytics /
Statement of responsibility, etc. Szabo, Gabor; Polatkan, Gungor; Boykin,P. Oscar & Chalkiopoulos,Antonios
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. USA :
Name of publisher, distributor, etc. Wiley,
Date of publication, distribution, etc. 2019.
300 ## - PHYSICAL DESCRIPTION
Extent xxxv,316 p. ;
Dimensions 23 cm.
520 ## - SUMMARY, ETC.
Summary, etc. Harness the power of social media to predict customer behaviorand improve sales Social media is the biggest source of Big Data. Because of this,90% of Fortune 500 companies are investing in Big Data initiativesthat will help them predict consumer behavior to produce bettersales results. Written by Dr. Gabor Szabo, a Senior Data Scientistat Twitter, and Dr. Oscar Boykin, a Software Engineer at Twitter,Social Media Data Mining and Analytics shows analysts how touse sophisticated techniques to mine social media data, obtainingthe information they need to generate amazing results for theirbusinesses. Social Media Data Mining and Analytics isn't just anotherbook on the business case for social media. Rather, this bookprovides hands-on examples for applying state-of-the-art tools andtechnologies to mine social media - examples include Twitter,Facebook, Pinterest, Wikipedia, Reddit, Flickr, Web hyperlinks, andother rich data sources. In it, you will learn: The four key characteristics of online services-users, socialnetworks, actions, and content The full data discovery lifecycle-data extraction, storage,analysis, and visualization How to work with code and extract data to create solutions How to use Big Data to make accurate customer predictions Szabo and Boykin wrote this book to provide businesses with thecompetitive advantage they need to harness the rich data that isavailable from social media platforms.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers
Topical term or geographic name entry element Social media
Topical term or geographic name entry element Data Mining and Analytics
Topical term or geographic name entry element Boykin,P. Oscar
Topical term or geographic name entry element Chalkiopoulos,Antonios
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Polatkan, Gungor
Personal name Boykin,P. Oscar
Personal name Chalkiopoulos, Antonios
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
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 Cost, normal purchase price Bill number Total checkouts Full call number Barcode Date last seen Actual Cost, replacement price Bill Date Koha item type
    Dewey Decimal Classification     Ranganathan Library Ranganathan Library 26/06/2020 Star Books, New Delhi 3218.00 STAR-6828/2019-20   658.83402856312 SZA 038074 13/04/2023 2091.00 13/02/2020 Book
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