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GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
13 years 8 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse
RCIS
2010
13 years 3 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
ADMA
2008
Springer
147views Data Mining» more  ADMA 2008»
13 years 11 months ago
Mining Supplemental Frequent Patterns
The process of resource distribution and load balance of a distributed P2P network can be described as the process of mining Supplement Frequent Patterns (SFPs) from query transact...
Yintian Liu, Yingming Liu, Tao Zeng, Kaikuo Xu, Ro...
DASFAA
2010
IEEE
225views Database» more  DASFAA 2010»
13 years 5 months ago
Mining Regular Patterns in Data Streams
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
HICSS
2008
IEEE
119views Biometrics» more  HICSS 2008»
13 years 11 months ago
Tree Mining in Mental Health Domain
The number of mentally ill people is increasing globally each year. Despite major medical advances, the identification of genetic and environmental factors responsible for mental ...
Maja Hadzic, Fedja Hadzic, Tharam S. Dillon