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» An overview of clustering methods
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DMKD
2000
ACM
165views Data Mining» more  DMKD 2000»
15 years 11 months ago
On Mining Web Access Logs
The proliferation of information on the world wide web has made the personalization of this information space a necessity. One possible approach to web personalization is to mine ...
Anupam Joshi, Raghu Krishnapuram
184
Voted
ICPP
1999
IEEE
15 years 11 months ago
SLC: Symbolic Scheduling for Executing Parameterized Task Graphs on Multiprocessors
Task graph scheduling has been found effective in performance prediction and optimization of parallel applications. A number of static scheduling algorithms have been proposed for...
Michel Cosnard, Emmanuel Jeannot, Tao Yang
227
Voted
ADC
2007
Springer
183views Database» more  ADC 2007»
15 years 11 months ago
Efficient Similarity Search by Summarization in Large Video Database
With the explosion of video data, video processing technologies have advanced quickly and been applied into many fields, such as advertisements, medical etc.. To fast search these...
Xiangmin Zhou, Xiaofang Zhou, Heng Tao Shen
CONEXT
2006
ACM
15 years 10 months ago
Early application identification
The automatic detection of applications associated with network traffic is an essential step for network security and traffic engineering. Unfortunately, simple port-based classif...
Laurent Bernaille, Renata Teixeira, Kavé Sa...
160
Voted
NIPS
2003
15 years 8 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan