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» Discovering significant patterns
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93
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ICPR
2008
IEEE
16 years 1 months ago
Detecting global motion patterns in complex videos
Learning dominant motion patterns or activities from a video is an important surveillance problem, especially in crowded environments like markets, subways etc., where tracking of...
Min Hu, Mubarak Shah, Saad Ali
ICPADS
2006
IEEE
15 years 6 months ago
Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment
When computationally feasible, mining extremely large databases produces tremendously large numbers of frequent patterns. In many cases, it is impractical to mine those datasets d...
Mohammad El-Hajj, Osmar R. Zaïane
97
Voted
VLDB
2005
ACM
118views Database» more  VLDB 2005»
15 years 6 months ago
Mining Compressed Frequent-Pattern Sets
A major challenge in frequent-pattern mining is the sheer size of its mining results. In many cases, a high min sup threshold may discover only commonsense patterns but a low one ...
Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng
VLDB
1999
ACM
188views Database» more  VLDB 1999»
15 years 5 months ago
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
Discovering sequential patterns is an important problem in data mining with a host of application domains including medicine, telecommunications, and the World Wide Web. Conventio...
Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim
110
Voted
IJWET
2010
86views more  IJWET 2010»
14 years 7 months ago
Semi-automatic financial events discovery based on lexico-semantic patterns
: Due to the market sensitivity to emerging news, investors on financial markets need to continuously monitor financial events when deciding on buying and selling equities. We prop...
Jethro Borsje, Frederik Hogenboom, Flavius Frasinc...