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» Mining Various Patterns in Sequential Data in an SQL-like Ma...
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BMCBI
2005
99views more  BMCBI 2005»
13 years 4 months ago
CGH-Profiler: Data mining based on genomic aberration profiles
Background: CGH-Profiler is a program that supports the analysis of genomic aberrations measured by Comparative Genomic Hybridisation (CGH). Comparative genomic hybridisation (CGH...
Falk Schubert, Bernhard Tausch, Stefan Joos, Rolan...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 5 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
SSD
2001
Springer
218views Database» more  SSD 2001»
13 years 9 months ago
Efficient Mining of Spatiotemporal Patterns
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
Ilias Tsoukatos, Dimitrios Gunopulos
ICTAI
2003
IEEE
13 years 10 months ago
Parallel Mining of Maximal Frequent Itemsets from Databases
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
Soon Myoung Chung, Congnan Luo
WEBDB
2004
Springer
191views Database» more  WEBDB 2004»
13 years 10 months ago
Visualizing and Discovering Web Navigational Patterns
Web site structures are complex to analyze. Cross-referencing the web structure with navigational behaviour adds to the complexity of the analysis. However, this convoluted analys...
Jiyang Chen, Lisheng Sun, Osmar R. Zaïane, Ra...