317 search results - page 45 / 64 » A hybrid approach to mining frequent sequential patterns |
MCS
2002
Springer
14 years 9 months ago
2002
Springer
The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even mo...
80
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RECOMB
2004
Springer
15 years 10 months ago
2004
Springer
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
103
Voted
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
WSE
2002
IEEE
15 years 2 months ago
2002
IEEE
Every day, new information, products and services are being offered by providers on the World Wide Web. At the same time, the number of consumers and the diversity of their intere...
176
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ICDE
2004
IEEE
15 years 11 months ago
2004
IEEE
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...