Data mining : (Record no. 28281)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03220cam a22004094a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 13887772 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | EG-ScBUE |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200308125526.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 050303r20062005caua f b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0120884070 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9788131200506 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 8131200507 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | DLC |
| Modifying agency | DLC |
| -- | EG-ScBUE |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 |
| Item number | WIT |
| Edition number | 22 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Witten, I. H. |
| Fuller form of name | (Ian H.) |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Data mining : |
| Remainder of title | practical machine learning tools and techniques / |
| Statement of responsibility, etc | Ian H. Witten, Department of Computer Science, University of Waikato, Eibe Frank, Department of Computer Science, University of Waikato. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | Second edition. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | Reprinted edition. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | San Francisco, CA : |
| Name of publisher, distributor, etc | Morgan Kaufman Publishers, |
| Date of publication, distribution, etc | 2006. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxxi, 525 pages : |
| Other physical details | illustrations ; |
| Dimensions | 24 cm. |
| 336 ## - CONTENT TYPE | |
| Source | rdacontent |
| Content type term | text |
| Content type code | txt |
| 337 ## - MEDIA TYPE | |
| Source | rdamedia |
| Media type term | unmediated |
| Media type code | n |
| 338 ## - CARRIER TYPE | |
| Source | rdacarrier |
| Carrier type term | volume |
| Carrier type code | nc |
| 490 0# - SERIES STATEMENT | |
| Series statement | Morgan Kaufmann series in data management systems |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensiv inforation on neural networks; a new section on Bayesian networks; plus much more. Offering a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques, inside you'll find: Algorithmic methods at the heart of successful data mining -- including tried and true techniques as well as leading edge methods; Performance improvement techniques that work by transforming the input or output; Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining. |
| Source of heading or term | BUEsh |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Resource For college | Informatics and Computer Science |
| Arrived date list | March2020 |
| 655 ## - INDEX TERM--GENRE/FORM | |
| Form subdivision | Reading book |
| 9 (RLIN) | 34232 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Frank, Eibe, |
| Relator term | author. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Publisher description |
| Uniform Resource Identifier | <a href="http://www.loc.gov/catdir/enhancements/fy0624/2005043385-d.html">http://www.loc.gov/catdir/enhancements/fy0624/2005043385-d.html</a> |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Table of contents only |
| Uniform Resource Identifier | <a href="http://www.loc.gov/catdir/enhancements/fy0624/2005043385-t.html">http://www.loc.gov/catdir/enhancements/fy0624/2005043385-t.html</a> |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 7 |
| b | cbc |
| c | orignew |
| d | 1 |
| e | ocip |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book - Borrowing |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Baccah | Central Library | Central Library | Lower Floor | 08/03/2020 | Purchase | 006.312 WIT | 000048781 | 15/07/2025 | 08/03/2020 | Book - Borrowing |