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» Mining evolving data streams for frequent patterns
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IS
2008
14 years 9 months ago
Efficient mining of frequent episodes from complex sequences
Discovering patterns with highly significance is an important problem in data mining discipline. An episode is defined to be a partially ordered set of events for a consecutive an...
Kuo-Yu Huang, Chia-Hui Chang
DAWAK
2004
Springer
15 years 3 months ago
Mining Periodic Patterns in Sequence Data
Abstract. Periodic pattern mining is the problem that regards temporal regularity. There are many emerging applications in periodic pattern mining, including web usage recommendati...
Kuo-Yu Huang, Chia-Hui Chang
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
15 years 3 months ago
TSP: Mining Top-K Closed Sequential Patterns
Sequential pattern mining has been studied extensively in data mining community. Most previous studies require the specification of a minimum support threshold to perform the min...
Petre Tzvetkov, Xifeng Yan, Jiawei Han
DAWAK
2007
Springer
15 years 3 months ago
Mining Trajectory Patterns Using Hidden Markov Models
Many studies of spatiotemporal pattern discovery partition data space into disjoint cells for effective processing. However, the discovery accuracy of the space-partitioning schem...
Hoyoung Jeung, Heng Tao Shen, Xiaofang Zhou
MLDM
2007
Springer
15 years 3 months ago
Applying Frequent Sequence Mining to Identify Design Flaws in Enterprise Software Systems
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
Trevor Parsons, John Murphy, Patrick O'Sullivan