Data Mining (Record no. 32642)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02217nam a22002177a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KENaKMTC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240129121801.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 231114b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780123748560 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | DLC |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HD30.2 |
| Item number | .D38 2011 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Witten Ian H.[et al] |
| 245 ## - TITLE STATEMENT | |
| Title | Data Mining |
| Remainder of title | Practical Machine Learning Tools and Techniques |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 3rd |
| 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 | 629p. |
| Other physical details | ill. |
| Dimensions | 22cm |
| 500 ## - GENERAL NOTE | |
| General note | Previous 2nd edition:2005 |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | PART I: Introduction to Data MiningCh 1 What's It All About? Ch 2 Input: Concepts, Instances, Attributes Ch 3 Output: Knowledge RepresentationCh 4 Algorithms: The Basic Methods Ch 5 Credibility: Evaluating What's Been Learned PART II: Advanced Data Mining Ch 6 Implementations: Real Machine Learning SchemesCh 7 Data TransformationCh 8 Ensemble LearningCh 9 Moving On: Applications and BeyondPART III: The Weka Data MiningWorkbenchCh 10 Introduction to WekaCh 11 The ExplorerCh 12 The Knowledge Flow InterfaceCh 13 The ExperimenterCh 14 The Command-Line InterfaceCh 15 Embedded Machine LearningCh 16 Writing New Learning SchemesCh 17 Tutorial Exercises for the Weka Explorer |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | Books |
| Intials | V.NGENO |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | KMTC:MOLO CAMPUS | KMTC:MOLO CAMPUS | Reference | 18/09/2023 | Donation | HD30.2 .D38 2011 | MLO/453 | 29/01/2024 | 1 | 14/11/2023 | Books |