Biologically-inspired techniques for knowledge discovery and data mining:
Gespeichert in:
Weitere Verfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey PA
Information Science Reference, an imprint of IGI Global
[2014]
|
Schriftenreihe: | Advances in data mining and database management (ADMDM) book series
Premier reference source |
Schlagworte: | |
Online-Zugang: | DE-706 DE-1049 DE-898 DE-1050 DE-83 Volltext |
Beschreibung: | 1 Online-Ressource (xxii, 375 Seiten) |
ISBN: | 9781466660793 9781466660816 |
Internformat
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Datensatz im Suchindex
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institution | BVB |
isbn | 9781466660793 9781466660816 |
language | English |
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physical | 1 Online-Ressource (xxii, 375 Seiten) |
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publishDate | 2014 |
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publisher | Information Science Reference, an imprint of IGI Global |
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series2 | Advances in data mining and database management (ADMDM) book series Premier reference source |
spelling | Biologically-inspired techniques for knowledge discovery and data mining Shafiq Alam (University of Auckland, New Zealand), Gillian Dobbie (University of Auckland, New Zealand), Yun Sing Koh (University of Auckland, New Zealand), Saeed ur Rehman (Unitec Institute of Technology, New Zealand) Hershey PA Information Science Reference, an imprint of IGI Global [2014] © 2014 1 Online-Ressource (xxii, 375 Seiten) txt rdacontent c rdamedia cr rdacarrier Advances in data mining and database management (ADMDM) book series Premier reference source (DE-588)4143413-4 Aufsatzsammlung gnd-content Alam, Shafiq edt Dobbie, Gillian edt Koh, Yun Sing edt Rehman, Saeed Ur edt Erscheint auch als Druck-Ausgabe 978-1-4666-6078-6 Erscheint auch als Druck-Ausgabe 1-4666-6078-3 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6078-6 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Biologically-inspired techniques for knowledge discovery and data mining |
subject_GND | (DE-588)4143413-4 |
title | Biologically-inspired techniques for knowledge discovery and data mining |
title_auth | Biologically-inspired techniques for knowledge discovery and data mining |
title_exact_search | Biologically-inspired techniques for knowledge discovery and data mining |
title_full | Biologically-inspired techniques for knowledge discovery and data mining Shafiq Alam (University of Auckland, New Zealand), Gillian Dobbie (University of Auckland, New Zealand), Yun Sing Koh (University of Auckland, New Zealand), Saeed ur Rehman (Unitec Institute of Technology, New Zealand) |
title_fullStr | Biologically-inspired techniques for knowledge discovery and data mining Shafiq Alam (University of Auckland, New Zealand), Gillian Dobbie (University of Auckland, New Zealand), Yun Sing Koh (University of Auckland, New Zealand), Saeed ur Rehman (Unitec Institute of Technology, New Zealand) |
title_full_unstemmed | Biologically-inspired techniques for knowledge discovery and data mining Shafiq Alam (University of Auckland, New Zealand), Gillian Dobbie (University of Auckland, New Zealand), Yun Sing Koh (University of Auckland, New Zealand), Saeed ur Rehman (Unitec Institute of Technology, New Zealand) |
title_short | Biologically-inspired techniques for knowledge discovery and data mining |
title_sort | biologically inspired techniques for knowledge discovery and data mining |
topic_facet | Aufsatzsammlung |
url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6078-6 |
work_keys_str_mv | AT alamshafiq biologicallyinspiredtechniquesforknowledgediscoveryanddatamining AT dobbiegillian biologicallyinspiredtechniquesforknowledgediscoveryanddatamining AT kohyunsing biologicallyinspiredtechniquesforknowledgediscoveryanddatamining AT rehmansaeedur biologicallyinspiredtechniquesforknowledgediscoveryanddatamining |