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SODA
2003
ACM
158views Algorithms» more  SODA 2003»
15 years 3 months ago
Comparing top k lists
Motivated by several applications, we introduce various distance measures between “top k lists.” Some of these distance measures are metrics, while others are not. For each of...
Ronald Fagin, Ravi Kumar, D. Sivakumar
SIGCSE
2008
ACM
128views Education» more  SIGCSE 2008»
15 years 1 months ago
Cybercivics: a novel approach to reaching k-12 students with the social relevance of computer science
This paper describes CyberCivics, a novel approach to computer science outreach that integrates hands-on computing experiences with the study of contemporary social and political ...
Jim Owens, Jeanna Matthews
ICDE
2007
IEEE
206views Database» more  ICDE 2007»
16 years 3 months ago
Efficiently Processing Continuous k-NN Queries on Data Streams
Efficiently processing continuous k-nearest neighbor queries on data streams is important in many application domains, e. g. for network intrusion detection or in querysubscriber ...
Beng Chin Ooi, Christian Böhm, Claudia Plant,...
ICPP
2005
IEEE
15 years 7 months ago
Connected k-Hop Clustering in Ad Hoc Networks
In wireless ad hoc networks, clustering is one of the most important approaches for many applications. A connected k-hop clustering network is formed by electing clusterheads in k...
Shuhui Yang, Jie Wu, Jiannong Cao
SSDBM
2005
IEEE
218views Database» more  SSDBM 2005»
15 years 7 months ago
The "Best K" for Entropy-based Categorical Data Clustering
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
Keke Chen, Ling Liu