Sciweavers

39 search results - page 2 / 8
» Efficiently mining frequent trees in a forest
Sort
View
ADC
2003
Springer
182views Database» more  ADC 2003»
13 years 10 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
KDD
2008
ACM
239views Data Mining» more  KDD 2008»
14 years 5 months ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà
AUSDM
2007
Springer
113views Data Mining» more  AUSDM 2007»
13 years 11 months ago
PCITMiner- Prefix-based Closed Induced Tree Miner for finding closed induced frequent subtrees
Frequent subtree mining has attracted a great deal of interest among the researchers due to its application in a wide variety of domains. Some of the domains include bio informati...
Sangeetha Kutty, Richi Nayak, Yuefeng Li
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
13 years 9 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
KDD
2008
ACM
246views Data Mining» more  KDD 2008»
14 years 5 months ago
Direct mining of discriminative and essential frequent patterns via model-based search tree
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Y...