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ACSC
2002
IEEE
14 years 14 days ago
Using Finite State Automata for Sequence Mining
We show how frequently occurring sequential patterns may be found from large datasets by first inducing a finite state automaton model describing the data, and then querying the m...
Philip Hingston
DAWAK
2009
Springer
13 years 11 months ago
TidFP: Mining Frequent Patterns in Different Databases with Transaction ID
Since transaction identifiers (ids) are unique and would not usually be frequent, mining frequent patterns with transaction ids, showing records they occurred in, provides an effic...
C. I. Ezeife, Dan Zhang
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
14 years 23 days ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
CORR
2010
Springer
185views Education» more  CORR 2010»
13 years 4 months ago
Analysing the behaviour of robot teams through relational sequential pattern mining
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
Grazia Bombini, Raquel Ros, Stefano Ferilli, Ramon...
JIPS
2010
154views more  JIPS 2010»
13 years 2 months ago
Mining Spatio-Temporal Patterns in Trajectory Data
Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approac...
Juyoung Kang 0002, Hwan-Seung Yong