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Data Mining Foundations and Intelligent Paradigms
Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 1of this three volume series, we have brought together contributions from some of the most prestigious researchers in the fundamental data mining tasks of clustering, association and classific...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2012
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-23166-7 http://cds.cern.ch/record/1503837 |
_version_ | 1780927190840377344 |
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author | Holmes, Dawn Jain, Lakhmi |
author_facet | Holmes, Dawn Jain, Lakhmi |
author_sort | Holmes, Dawn |
collection | CERN |
description | Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 1of this three volume series, we have brought together contributions from some of the most prestigious researchers in the fundamental data mining tasks of clustering, association and classification. Each of the chapters is self contained. Theoreticians and applied scientists/ engineers will find this volume valuable. Additionally, it provides a sourcebook for graduate students interested in the current direction of research in these aspects of data mining. |
id | cern-1503837 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2012 |
publisher | Springer |
record_format | invenio |
spelling | cern-15038372021-04-21T23:52:59Zdoi:10.1007/978-3-642-23166-7http://cds.cern.ch/record/1503837engHolmes, DawnJain, LakhmiData Mining Foundations and Intelligent ParadigmsEngineeringData mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 1of this three volume series, we have brought together contributions from some of the most prestigious researchers in the fundamental data mining tasks of clustering, association and classification. Each of the chapters is self contained. Theoreticians and applied scientists/ engineers will find this volume valuable. Additionally, it provides a sourcebook for graduate students interested in the current direction of research in these aspects of data mining.Springeroai:cds.cern.ch:15038372012 |
spellingShingle | Engineering Holmes, Dawn Jain, Lakhmi Data Mining Foundations and Intelligent Paradigms |
title | Data Mining Foundations and Intelligent Paradigms |
title_full | Data Mining Foundations and Intelligent Paradigms |
title_fullStr | Data Mining Foundations and Intelligent Paradigms |
title_full_unstemmed | Data Mining Foundations and Intelligent Paradigms |
title_short | Data Mining Foundations and Intelligent Paradigms |
title_sort | data mining foundations and intelligent paradigms |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-642-23166-7 http://cds.cern.ch/record/1503837 |
work_keys_str_mv | AT holmesdawn dataminingfoundationsandintelligentparadigms AT jainlakhmi dataminingfoundationsandintelligentparadigms |