Coefficient of Variation and Machine Learning Applications (Record no. 71186)

000 -LEADER
fixed length control field 02726cam a2200553Mu 4500
001 - CONTROL NUMBER
control field 9780429296185
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711212404.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191123s2019 xx o 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000752229
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000752224
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780429296185
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0429296185
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000752427
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000752429
-- (electronic bk. : Mobipocket)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000752625
-- (electronic bk. : EPUB)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000752623
-- (electronic bk. : EPUB)
082 04 - CLASSIFICATION NUMBER
Call Number 519.538
082 04 - CLASSIFICATION NUMBER
Call Number 510
100 1# - AUTHOR NAME
Author Hima Bindu, K.
245 10 - TITLE STATEMENT
Title Coefficient of Variation and Machine Learning Applications
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Milton :
Publisher CRC Press LLC,
Year of publication 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (149 p.).
490 1# - SERIES STATEMENT
Series statement Intelligent Signal Processing and Data Analysis Ser.
500 ## - GENERAL NOTE
Remark 1 Description based upon print version of record.
520 ## - SUMMARY, ETC.
Summary, etc Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms. This book provides necessary exposure of computational strategies, properties of CV and extracting the metadata leading to efficient knowledge representation. It also compiles representational and classification strategies based on the CV through illustrative explanations. The potential nature of CV in the context of contemporary Machine Learning strategies and the Big Data paradigms is demonstrated through selected applications. Overall, this book explains statistical parameters and knowledge representation models.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Statistical methods.
700 1# - AUTHOR 2
Author 2 Morusupalli, Raghava.
700 1# - AUTHOR 2
Author 2 Dey, Nilanjan.
700 1# - AUTHOR 2
Author 2 Rao, C. Raghavendra.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9780429296185
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Machine Theory
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Computer Engineering
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- MATHEMATICS / Probability & Statistics / General
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Analysis of variance.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big data

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