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» CURE: An Efficient Clustering Algorithm for Large Databases
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148
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BMCBI
2010
139views more  BMCBI 2010»
15 years 3 months ago
A global optimization algorithm for protein surface alignment
Background: A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined w...
Paola Bertolazzi, Concettina Guerra, Giampaolo Liu...
125
Voted
IDEAL
2003
Springer
15 years 9 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
VLDB
2007
ACM
114views Database» more  VLDB 2007»
16 years 4 months ago
Optimization and evaluation of shortest path queries
We investigate the problem of how to evaluate efficiently a collection of shortest path queries on massive graphs that are too big to fit in the main memory. To evaluate a shortes...
Edward P. F. Chan, Heechul Lim
118
Voted
EDBT
2004
ACM
119views Database» more  EDBT 2004»
16 years 3 months ago
NNH: Improving Performance of Nearest-Neighbor Searches Using Histograms
Efficient search for nearest neighbors (NN) is a fundamental problem arising in a large variety of applications of vast practical interest. In this paper we propose a novel techniq...
Liang Jin, Nick Koudas, Chen Li
126
Voted
KDD
2009
ACM
164views Data Mining» more  KDD 2009»
16 years 4 months ago
Social influence analysis in large-scale networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang