Data mining: an introduction (Record no. 1500)

MARC details
000 -LEADER
fixed length control field 01417 a2200217 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250429110021.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241214b2024|||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789389183788
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312 B43
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Bhakta, Nimit
Relator term Author
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Ali, Nagma
Relator term Co-Author
245 ## - TITLE STATEMENT
Title Data mining: an introduction
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication New Delhi:
Name of publisher Bio-Green Books,
Year of publication 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages ix, 207p.; 22cms.
500 ## - GENERAL NOTE
General note The book covers a wide range of topics related to data mining, including deep learning, decision tree induction, association rule mining, analytical statistics techniques, clustering, and more.<br/><br/>The book provides numerous case studies and examples that illustrate how data mining techniques can be applied in real-world settings, such as in banking, education, software engineering, and weather forecasting.<br/><br/>The book emphasizes the importance of machine learning in data mining and provides a detailed discussion of various machine learning techniques, such as regression and classification.<br/><br/>The book uses Python programming language and MapReduce algorithms to illustrate various data mining techniques, making it accessible to readers with programming experience.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data digging techniques
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data mining including deep learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Analytical statistics techniques and clustering
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Shelving location Full call number Accession Number Koha item type
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