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» A new algorithm for gap constrained sequence mining
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ICAI
2003
13 years 10 months ago
Mining Generalized Sequential Patterns Using Genetic Programming
We propose a new kind of sequential pattern which we call Generalized Sequential Pattern, and we introduce the problem of mining generalized sequential patterns over temporal datab...
Sandra de Amo, Ary dos Santos Rocha Jr.
SIAMIS
2011
13 years 3 months ago
Locally Parallel Texture Modeling
This article presents a new adaptive framework for locally parallel texture modeling. Oscillating patterns are modeled with functionals that constrain the local Fourier decompositi...
Pierre Maurel, Jean-François Aujol, Gabriel...
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
14 years 19 days ago
Fast query execution for retrieval models based on path-constrained random walks
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
Ni Lao, William W. Cohen
BMCBI
2008
86views more  BMCBI 2008»
13 years 8 months ago
Subfamily specific conservation profiles for proteins based on n-gram patterns
Background: A new algorithm has been developed for generating conservation profiles that reflect the evolutionary history of the subfamily associated with a query sequence. It is ...
John K. Vries, Xiong Liu
CIKM
2008
Springer
13 years 10 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan