MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03053nam a22002417a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230202s2020 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781447174929 |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| ISSN-L |
9781447174929 |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.312 |
| Item number |
BRA |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Bramer, Max |
| 9 (RLIN) |
673655 |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Principles of Data Mining |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
4th |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
London : |
| Name of publisher, distributor, etc. |
Springer, |
| Date of publication, distribution, etc. |
c2020 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XVI, 571 p. |
| Other physical details |
: ill |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Prof. Max Bramer:<br/> School of Computing University of Portsmouth Portsmouth, Hampshire, UK Series editor Ian Mackie Advisory board Samson Abramsky, University of Oxford, Oxford, UK Chris Hankin, Imperial College London, London, UK Mike Hinchey, University of Limerick, Limerick, Ireland Dexter C. Kozen, Cornell University, Ithaca, USA Andrew Pitts, University of Cambridge, Cambridge, UK Hanne Riis Nielson, Technical University of Denmark, Kongens Lyngby, Denmark Steven S. Skiena, Stony Brook University, Stony Brook, USA Iain Stewart, University of Durham, Durham, UK |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes Bibliographical References and Index |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Summary:This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering. Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail. It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. As an aid to self-study, it aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field. Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included. Principles of Data Mining includes descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift. The expanded fourth edition gives a detailed description of a feed-forward neural network with backpropagation and shows how it can be used for classification. -- Provided by publisher |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data Mining |
| 9 (RLIN) |
844 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Link text |
website |
| Uniform Resource Identifier |
<a href="https://dokumen.pub/principles-of-data-mining-4th-edition-1447174925-9781447174929-9781447174936.html">https://dokumen.pub/principles-of-data-mining-4th-edition-1447174925-9781447174929-9781447174936.html</a> |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Link text |
TOC |
| Uniform Resource Identifier |
<a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781447174929.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781447174929.pdf</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |
