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IPL
2002
125views more  IPL 2002»
14 years 9 months ago
A note concerning the closest point pair algorithm
An algorithm, described by Sedgewick, finds the distance between the closest pair of n given points in a plane using a variant of mergesort. This takes O(n log n) time. To prove t...
Martin Richards
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
15 years 10 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
BMCBI
2008
130views more  BMCBI 2008»
14 years 10 months ago
An enhanced partial order curve comparison algorithm and its application to analyzing protein folding trajectories
Background: Understanding how proteins fold is essential to our quest in discovering how life works at the molecular level. Current computation power enables researchers to produc...
Hong Sun, Hakan Ferhatosmanoglu, Motonori Ota, Yus...
JSA
2006
82views more  JSA 2006»
14 years 10 months ago
A flocking based algorithm for document clustering analysis
ct 7 Social animals or insects in nature often exhibit a form of emergent collective behavior known as flocking. In this paper, 8 we present a novel Flocking based approach for doc...
Xiaohui Cui, Jinzhu Gao, Thomas E. Potok
JMLR
2010
134views more  JMLR 2010»
14 years 4 months ago
Bayesian Algorithms for Causal Data Mining
We present two Bayesian algorithms CD-B and CD-H for discovering unconfounded cause and effect relationships from observational data without assuming causal sufficiency which prec...
Subramani Mani, Constantin F. Aliferis, Alexander ...