Handbook of big data reasearch methods / (Record no. 6871)

MARC details
000 -LEADER
fixed length control field 02723nam a22003017a 4500
003 - CONTROL NUMBER IDENTIFIER
control field GR-AtICH
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240619114836.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240619s2023 enkd|||| |||| 001 0 eng d
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7
245 00 - TITLE STATEMENT
Title Handbook of big data reasearch methods /
Statement of responsibility, etc edited by Shahriar Akter and Samuel Fosso Wamba.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cheltenham ;
-- Northampton :
Name of publisher, distributor, etc Edward Elgar,
Date of publication, distribution, etc 2023.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term computer
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term online resource
490 0# - SERIES STATEMENT
Series statement Research handbooks in information systems
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction to the Handbook of Big Data Research Methods -- 2. Big data research methods in financial prediction -- 3. Big data, data analytics and artificial intelligence in accounting: an overview -- 4. The benefits of marketing analytics and challenges -- 5. How big data analytics will transform the future of fashion retailing -- 67. Descriptive analytics and data visualization in e-commerce -- 7. Application of big data Bayesian interrupted time-series modeling for intervention analysis -- 8. How predictive analytics can empower your decision making --9. Gaussian process classification for psychophysical detection tasks in multiple populations (wide big data) using transfer learning -- 10. Predictive analytics for machine learning and deep learning -- 11. Building a successful data science ecosystem using public cloud -- 12. How HR analytics can leverage big data to minimise employees' exploitation and promote their welfare for sustainable competitive advantage -- 13. Embracing data-driven analytics (DDA) in human resource management to measure the organization performance -- 14. A process framework for big data research: social network analysis using design science -- 15. Notre-Dame de Paris cathedral is burning: let's turn to Twitter -- 16. Does personal data protection matter in data protection law? A transformational model to fit in the digital era -- 17. Understanding the future trends and innovations of AI-based CRM systems -- Descriptive analytics methods in big data: a systematic literature review.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
General subdivision Research
9 (RLIN) 16594
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Akter, Shahriar
9 (RLIN) 16592
Relator term editor
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wamba, Samuel Fosso
9 (RLIN) 16593
Relator term editor
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified EBSCOhost - Full text online.
Uniform Resource Identifier <a href="https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3631340&site=ehost-live">https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3631340&site=ehost-live</a>
Public note Access through the CYA network or with a u/p from the librarian.
Holdings
Lost status Source of classification or shelving scheme Not for loan Home library Current library Shelving location Date acquired Inventory number Total Checkouts Full call number Date last seen Uniform Resource Identifier Price effective from Koha item type Public note
  Dewey Decimal Classification   CYA Library CYA Library Ebook Available Online 19/06/2024 7585   005.7 BIG 19/06/2024 https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3631340&site=ehost-live 19/06/2024 Ebook - EBSCO Access through the CYA network or with a u/p from the librarian.
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