Data mining and data warehousing : (Record no. 91935)
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000 -LEADER | |
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fixed length control field | 02495nam a2200325Ia 4500 |
001 - CONTROL NUMBER | |
control field | 355640 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | 0000000000 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20211104093422.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 190403t20192019enka b 001 0 eng c |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
LC control number | 2019013358 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781108727747;1108727743 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1055456089 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1055456089 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | LBSOR/DLC |
Transcribing agency | DLC |
Description conventions | rda |
050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | QA 76.9.D343 |
Item number | .B469 2019 |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Bhatia, Parteek, |
9 (RLIN) | 128258 |
245 #0 - TITLE STATEMENT | |
Title | Data mining and data warehousing : |
Remainder of title | principles and practical techniques / |
Statement of responsibility, etc. | Parteek Bhatia |
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Cambridge, United Kingdom ;;New York, NY : |
Name of producer, publisher, distributor, manufacturer | Cambridge University Press, |
Date of production, publication, distribution, manufacture, or copyright notice | c2019. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xxiv, 477 pages |
Dimensions | 24 cm. |
336 ## - CONTENT TYPE | |
Content type term | text |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | unmediated |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | volume |
Source | rdacarrier |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc | Includes bibliographical references and index |
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, Na©¯ve 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-- |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data mining |
9 (RLIN) | 23723 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data warehousing |
9 (RLIN) | 70604 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type |
No items available.