Data mining : (Record no. 15520)

MARC details
000 -LEADER
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003 - CONTROL NUMBER IDENTIFIER
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005 - DATE AND TIME OF LATEST TRANSACTION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780123748560
040 ## - CATALOGING SOURCE
Transcribing agency kinley
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312 WIT
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Witten, I. H.
245 ## - TITLE STATEMENT
Title Data mining :
Remainder of title practical machine learning tools and techniques /
Statement of responsibility, etc Ian. H Witten ... [et al.].
250 ## - EDITION STATEMENT
Edition statement 3rd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Amsterdam :
Name of publisher, distributor, etc Morgan Kaufmann,
Date of publication, distribution, etc 2011.
300 ## - PHYSICAL DESCRIPTION
Extent xxxi, 629 p. :
Other physical details ill. ;
Dimensions 23 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc <br/>Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers
Form subdivision Data Mining.
General subdivision Database Management
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Frank, Eibe.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hall, Mark A.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
          Paro College Library Paro College Library 26/07/2022   006.312 WIT E19224 26/07/2022 E19224 26/07/2022 Books
          Paro College Library Paro College Library 26/07/2022   006.312 WIT E19225 26/07/2022 E19225 26/07/2022 Books
          Paro College Library Paro College Library 26/07/2022   006.312 WIT E19226 26/07/2022 E19226 26/07/2022 Books
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