Data mining and data warehousing: (Record no. 297328)

MARC details
000 -LEADER
fixed length control field 01792nam a22001337a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108727747
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Item number BHA-D
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bhatia, Parteek
245 ## - TITLE STATEMENT
Title Data mining and data warehousing:
Remainder of title Principles and practical techniques
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Delhi:
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. 2019.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Beginning with machine learning -- Introduction to data mining -- Beginning with Weka and R language -- Data preprocessing -- Classification -- Implementing classification in Weka and R -- Cluster analysis -- Implementing clustering with Weka and R -- Association mining -- Implementing association mining with Weka and R -- Web mining and search engines -- Data warehouse -- Data warehouse schema -- Online analytical processing -- Big data and NoSQL.
520 ## - SUMMARY, ETC.
Summary, etc. "This textbook is written to cater to the needs of undergraduate students of computer science, engineering, and information technology for a course on data mining and data warehousing. It brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models, and NoSQL are discussed in detail. Unsolved problems and multiple-choice questions are interspersed throughout the book for better understanding"--
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Dept. of Computational Biology and Bioinformatics Dept. of Computational Biology and Bioinformatics Processing Center 01/06/2020   006.3 BHA-D DCB3772 01/06/2020 01/06/2020 Book