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» Kernel-based relation extraction from investigative data
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128
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BMCBI
2008
126views more  BMCBI 2008»
15 years 4 months ago
ISOL@: an Italian SOLAnaceae genomics resource
Background: Present-day `-omics' technologies produce overwhelming amounts of data which include genome sequences, information on gene expression (transcripts and proteins) a...
Maria Luisa Chiusano, Nunzio D'Agostino, Alessandr...
184
Voted
AH
2008
Springer
15 years 10 months ago
Collection Browsing through Automatic Hierarchical Tagging
In order to navigate huge document collections efficiently, tagged hierarchical structures can be used. For users, it is important to correctly interpret tag combinations. In this ...
Korinna Bade, Marcel Hermkes
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 5 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
BMCBI
2004
119views more  BMCBI 2004»
15 years 3 months ago
Genome SEGE: A database for 'intronless' genes in eukaryotic genomes
Background: A number of completely sequenced eukaryotic genome data are available in the public domain. Eukaryotic genes are either 'intron containing' or 'intronle...
Meena K. Sakharkar, Pandjassarame Kangueane
IPM
2002
106views more  IPM 2002»
15 years 3 months ago
A feature mining based approach for the classification of text documents into disjoint classes
This paper proposes a new approach for classifying text documents into two disjoint classes. The new approach is based on extracting patterns, in the form of two logical expressio...
Salvador Nieto Sánchez, Evangelos Triantaph...