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VLDB
1998
ACM
112views Database» more  VLDB 1998»
13 years 11 months ago
Incremental Clustering for Mining in a Data Warehousing Environment
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
SIGMETRICS
1996
ACM
122views Hardware» more  SIGMETRICS 1996»
13 years 11 months ago
Experiments with Digital Video Playback
In this paper we describe our experiments on digital video applications, concentrating on the static and dynamic tradeo s involved in video playback. Our results were extracted fr...
Richard Gerber, Ladan Gharai
SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
13 years 11 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny
EUROSYS
2010
ACM
13 years 11 months ago
Fingerprinting the Datacenter: Automated Classification of Performance Crises
When a performance crisis occurs in a datacenter, rapid recovery requires quickly recognizing whether a similar incident occurred before, in which case a known remedy may apply, o...
Peter Bodik, Moises Goldszmidt, Armando Fox, Dawn ...
EENERGY
2010
13 years 11 months ago
Towards energy-aware scheduling in data centers using machine learning
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Josep Lluis Berral, Iñigo Goiri, Ramon Nou,...