Data analytics for pandemics : (Record no. 70850)

000 -LEADER
fixed length control field 02543cam a2200481 i 4500
001 - CONTROL NUMBER
control field 9781003095415
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220531132329.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200512t20212021flua ob 001 0 eng
040 ## - Cataloging Source
-- OCoLC-P
-- eng
-- rda
-- pn
-- OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000204414
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000204413
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780367558468
-- hardcover
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780367564957
-- paperback
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1154861973
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1154861973
050 04 - LIBRARY OF CONGRESS CALL NUMBER
Classification number RA644.C67
Item number S55 2021
082 00 -
-- 616.2/4140727
-- 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Shinde, Gitanjali Rahul,
Dates associated with a name 1983-
Relator term author.
245 10 - TITLE STATEMENT
Title Data analytics for pandemics :
Remainder of title a COVID-19 case study /
Statement of responsibility, etc. Gitanjali Rahul Shinde, Asmita Balasaheb Kalamkar, Parikshit N. Mahalle, Nilanjan Dey.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 -
-- Boca Raton, FL :
-- CRC Press,
-- [2021].
264 #4 -
-- ©2021
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xv, 68 pages) :
Other physical details illustrations.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
490 1# -
-- CRC focus series
490 1# -
-- Intelligent signal processing and data analysis
520 ## -
-- "Epidemic trend analysis, timeline progression, prediction and recommendation are critical for initiating effective public health control strategies and AI and data analytics play an important role in epidemiology, diagnostic and clinical fronts. The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussion on data models, their performance, different Big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies"--
-- Provided by publisher.
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COVID-19 (Disease)
General subdivision Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COVID-19 (Disease)
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COVID-19 (Disease)
General subdivision Forecasting.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kalamkar, Asmita Balasaheb,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mahalle, Parikshit N.,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dey, Nilanjan,
Dates associated with a name 1984-
Relator term author.
856 40 -
-- Taylor & Francis
-- https://www.taylorfrancis.com/books/9781003095415
856 42 -
-- OCLC metadata license agreement
-- http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf

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