Rare association rule mining and knowledge discovery technologies for infrequent and critical event detection
"This book provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining" - Provided by publisher
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey ; New York
Information Science Reference
[2010]
|
Schriftenreihe: | Advances in data warehousing and mining series (ADWM)
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Online-Zugang: | DE-706 DE-1049 DE-898 DE-573 DE-1050 DE-83 URL des Erstveröffentlichers |
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245 | 1 | 0 | |a Rare association rule mining and knowledge discovery |b technologies for infrequent and critical event detection |c Yun Sing Koh (Auckland University of Technology, New Zealand), Nathan Rountree (University of Otago, New Zealand) |
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Datensatz im Suchindex
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id | DE-604.BV044694930 |
illustrated | Not Illustrated |
indexdate | 2024-07-20T06:38:08Z |
institution | BVB |
isbn | 9781605667553 |
language | English |
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series2 | Advances in data warehousing and mining series (ADWM) Premier reference source |
spelling | Rare association rule mining and knowledge discovery technologies for infrequent and critical event detection Yun Sing Koh (Auckland University of Technology, New Zealand), Nathan Rountree (University of Otago, New Zealand) Hershey ; New York Information Science Reference [2010] © 2010 1 Online-Ressource (xix, 299 Seiten) txt rdacontent c rdamedia cr rdacarrier Advances in data warehousing and mining series (ADWM) Premier reference source Includes bibliographical references and index "This book provides readers with an in-depth compendium of current issues, trends, and technologies in association rule mining" - Provided by publisher Data Mining (DE-588)4428654-5 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Data Mining (DE-588)4428654-5 s Wissensextraktion (DE-588)4546354-2 s DE-604 Koh, Yun Sing edt Rountree, Nathan edt Erscheint auch als Druck-Ausgabe 978-1-60566-754-6 Erscheint auch als Druck-Ausgabe 1-60566-754-4 Erscheint auch als Druck-Ausgabe 978-1-61692-450-8 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-754-6 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Rare association rule mining and knowledge discovery technologies for infrequent and critical event detection Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd |
subject_GND | (DE-588)4428654-5 (DE-588)4546354-2 (DE-588)4143413-4 |
title | Rare association rule mining and knowledge discovery technologies for infrequent and critical event detection |
title_auth | Rare association rule mining and knowledge discovery technologies for infrequent and critical event detection |
title_exact_search | Rare association rule mining and knowledge discovery technologies for infrequent and critical event detection |
title_full | Rare association rule mining and knowledge discovery technologies for infrequent and critical event detection Yun Sing Koh (Auckland University of Technology, New Zealand), Nathan Rountree (University of Otago, New Zealand) |
title_fullStr | Rare association rule mining and knowledge discovery technologies for infrequent and critical event detection Yun Sing Koh (Auckland University of Technology, New Zealand), Nathan Rountree (University of Otago, New Zealand) |
title_full_unstemmed | Rare association rule mining and knowledge discovery technologies for infrequent and critical event detection Yun Sing Koh (Auckland University of Technology, New Zealand), Nathan Rountree (University of Otago, New Zealand) |
title_short | Rare association rule mining and knowledge discovery |
title_sort | rare association rule mining and knowledge discovery technologies for infrequent and critical event detection |
title_sub | technologies for infrequent and critical event detection |
topic | Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd |
topic_facet | Data Mining Wissensextraktion Aufsatzsammlung |
url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-754-6 |
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