Machine learning and data mining: introduction to principles and algorithms
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Chichester, England
Horwood Publishing
2007
|
| Schlagworte: | |
| Online-Zugang: | FLA01 FUBA1 Volltext |
| Beschreibung: | Includes bibliographical references and index Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions. Provides an introduction to the main issues associated with the basics of machine learning and the algorithms used in data miningA valuable addition to the libraries and bookshelves of companies using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions |
| Beschreibung: | 1 Online-Ressource (475 Seiten) |
| ISBN: | 9780857099440 0857099442 9781904275213 |
Internformat
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| 245 | 1 | 0 | |a Machine learning and data mining |b introduction to principles and algorithms |c Igor Kononenko, Matjaz |
| 264 | 1 | |a Chichester, England |b Horwood Publishing |c 2007 | |
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| 500 | |a Includes bibliographical references and index | ||
| 500 | |a Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions. Provides an introduction to the main issues associated with the basics of machine learning and the algorithms used in data miningA valuable addition to the libraries and bookshelves of companies using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions | ||
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| 650 | 7 | |a Machine learning |2 fast | |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Kononenko, Igor 1959- |
| author_GND | (DE-588)143481371 (DE-588)143481398 |
| author_facet | Kononenko, Igor 1959- |
| author_role | aut |
| author_sort | Kononenko, Igor 1959- |
| author_variant | i k ik |
| building | Verbundindex |
| bvnumber | BV042314139 |
| classification_rvk | ST 302 |
| collection | ZDB-33-ESD ZDB-33-EBS ebook |
| ctrlnum | (OCoLC)874158435 (DE-599)BVBBV042314139 |
| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/1 |
| dewey-search | 006.3/1 |
| dewey-sort | 16.3 11 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV042314139 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:18:10Z |
| institution | BVB |
| isbn | 9780857099440 0857099442 9781904275213 |
| language | English |
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| spelling | Kononenko, Igor 1959- Verfasser (DE-588)143481371 aut Machine learning and data mining introduction to principles and algorithms Igor Kononenko, Matjaz Chichester, England Horwood Publishing 2007 1 Online-Ressource (475 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions. Provides an introduction to the main issues associated with the basics of machine learning and the algorithms used in data miningA valuable addition to the libraries and bookshelves of companies using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions Data mining fast Machine learning fast Machine learning Data mining Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s Data Mining (DE-588)4428654-5 s DE-604 Kukar, Matjaž Sonstige (DE-588)143481398 oth http://www.sciencedirect.com/science/book/9781904275213 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Kononenko, Igor 1959- Machine learning and data mining introduction to principles and algorithms Data mining fast Machine learning fast Machine learning Data mining Maschinelles Lernen (DE-588)4193754-5 gnd Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4428654-5 |
| title | Machine learning and data mining introduction to principles and algorithms |
| title_auth | Machine learning and data mining introduction to principles and algorithms |
| title_exact_search | Machine learning and data mining introduction to principles and algorithms |
| title_full | Machine learning and data mining introduction to principles and algorithms Igor Kononenko, Matjaz |
| title_fullStr | Machine learning and data mining introduction to principles and algorithms Igor Kononenko, Matjaz |
| title_full_unstemmed | Machine learning and data mining introduction to principles and algorithms Igor Kononenko, Matjaz |
| title_short | Machine learning and data mining |
| title_sort | machine learning and data mining introduction to principles and algorithms |
| title_sub | introduction to principles and algorithms |
| topic | Data mining fast Machine learning fast Machine learning Data mining Maschinelles Lernen (DE-588)4193754-5 gnd Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Data mining Machine learning Maschinelles Lernen Data Mining |
| url | http://www.sciencedirect.com/science/book/9781904275213 |
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