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» Approximation schemes for clustering problems
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CORR
2010
Springer
81views Education» more  CORR 2010»
14 years 4 months ago
Analysis of Agglomerative Clustering
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
Marcel R. Ackermann, Johannes Blömer, Daniel ...
95
Voted
ISPASS
2003
IEEE
15 years 2 months ago
On evaluating request-distribution schemes for saving energy in server clusters
Power-performance optimization is a relatively new problem area particularly in the context of server clusters. Poweraware request distribution is a method of scheduling service r...
Karthick Rajamani, Charles Lefurgy
WEA
2005
Springer
107views Algorithms» more  WEA 2005»
15 years 3 months ago
Local Clustering of Large Graphs by Approximate Fiedler Vectors
Vectors [Extended Abstract] Pekka Orponen and Satu Elisa Schaeffer Laboratory for Theoretical Computer Science, P.O. Box 5400 FI-02015 TKK Helsinki University of Technology, Finlan...
Pekka Orponen, Satu Elisa Schaeffer
KDD
1997
ACM
159views Data Mining» more  KDD 1997»
15 years 1 months ago
New Algorithms for Fast Discovery of Association Rules
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mi...
177
Voted
ICDT
2009
ACM
148views Database» more  ICDT 2009»
15 years 10 months ago
Tight results for clustering and summarizing data streams
In this paper we investigate algorithms and lower bounds for summarization problems over a single pass data stream. In particular we focus on histogram construction and K-center c...
Sudipto Guha