Data Mining (Record no. 32173)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01265nam a22002177a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KENaKMTC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240129100951.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 231031b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780128042915 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | DLC |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HD30.2 |
| Item number | .D38 2017 |
| 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 | 4th |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Amsterdam |
| Name of publisher, distributor, etc | Morgan Kaufmann |
| Date of publication, distribution, etc | 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 621p. |
| Other physical details | ill. |
| Dimensions | 18 by 22.5cm |
| 500 ## - GENERAL NOTE | |
| General note | Previous 3rd edition:2011 |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Part I: Introduction to data mining 1. What’s it all about? 2. Input: Concepts, instances, attributes 3. Output: Knowledge representation 4. Algorithms: The basic methods 5. Credibility: Evaluating what’s been learned Part II. More advanced machine learning schemes 6. Trees and rules 7. Extending instance-based and linear models 8. Data transformations 9. Probabilistic methods 10. Deep learning 11. Beyond supervised and unsupervised learning 12. Ensemble learning 13. Moving on: applications and beyond |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This work offers a grounding in machine learning concepts combined with practical advice on applying machine learning tools and techniques in real-world data mining situations |
| 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| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date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 2017 | MLO/415 | 29/01/2024 | 1 | 31/10/2023 | Books |