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» Efficient Memory Bound Puzzles Using Pattern Databases
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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
14 years 7 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
ALMOB
2006
80views more  ALMOB 2006»
13 years 6 months ago
Effective p-value computations using Finite Markov Chain Imbedding (FMCI): application to local score and to pattern statistics
The technique of Finite Markov Chain Imbedding (FMCI) is a classical approach to complex combinatorial problems related to sequences. In order to get efficient algorithms, it is k...
Grégory Nuel
PVLDB
2008
90views more  PVLDB 2008»
13 years 6 months ago
Sorting hierarchical data in external memory for archiving
Sorting hierarchical data in external memory is necessary for a wide variety of applications including archiving scientific data and dealing with large XML datasets. The topic of ...
Ioannis Koltsidas, Heiko Müller, Stratis Vigl...
SIGMOD
2010
ACM
210views Database» more  SIGMOD 2010»
13 years 6 months ago
Searching trajectories by locations: an efficiency study
Trajectory search has long been an attractive and challenging topic which blooms various interesting applications in spatial-temporal databases. In this work, we study a new probl...
Zaiben Chen, Heng Tao Shen, Xiaofang Zhou, Yu Zhen...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 7 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye