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» Experiments on Graph Clustering Algorithms
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AINA
2007
IEEE
14 years 3 months ago
Depth-Latency Tradeoffs in Multicast Tree Algorithms
The construction of multicast trees is complicated by the need to balance a number of important objectives, including: minimizing latencies, minimizing depth/hops, and bounding th...
Michael T. Helmick, Fred S. Annexstein
SIGCSE
2002
ACM
149views Education» more  SIGCSE 2002»
13 years 8 months ago
A comprehensive project for CS2: combining key data structures and algorithms into an integrated web browser and search engine
We present our experience using a large, real-world application as a course project for the second half of the semester of a CS2 course. Our primary goal for the project was to cr...
Tia Newhall, Lisa Meeden
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
13 years 10 months ago
Making k-means Even Faster
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
Greg Hamerly
ICDE
2000
IEEE
96views Database» more  ICDE 2000»
14 years 10 months ago
Dynamic Miss-Counting Algorithms: Finding Implication and Similarity Rules with Confidence Pruning
Dynamic Miss-Countingalgorithms are proposed, which find all implication and similarity rules with confidence pruning but without support pruning. To handle data sets with a large...
Shinji Fujiwara, Jeffrey D. Ullman, Rajeev Motwani
SIGMOD
2003
ACM
239views Database» more  SIGMOD 2003»
14 years 9 months ago
D(k)-Index: An Adaptive Structural Summary for Graph-Structured Data
To facilitate queries over semi-structured data, various structural summaries have been proposed. Structural summaries are derived directly from the data and serve as indices for ...
Chen Qun, Andrew Lim, Kian Win Ong