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» Refining Information Extraction Rules using Data Provenance
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KDD
2002
ACM
175views Data Mining» more  KDD 2002»
14 years 8 months ago
Mining product reputations on the Web
Knowing the reputations of your own and/or competitors' products is important for marketing and customer relationship management. It is, however, very costly to collect and a...
Satoshi Morinaga, Kenji Yamanishi, Kenji Tateishi,...
BMCBI
2010
160views more  BMCBI 2010»
13 years 2 months ago
eHive: An Artificial Intelligence workflow system for genomic analysis
Background: The Ensembl project produces updates to its comparative genomics resources with each of its several releases per year. During each release cycle approximately two week...
Jessica Severin, Kathryn Beal, Albert J. Vilella, ...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 8 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 ...
SIGMOD
2008
ACM
120views Database» more  SIGMOD 2008»
14 years 8 months ago
Muse: a system for understanding and designing mappings
Schema mappings are logical assertions that specify the relationships between a source and a target schema in a declarative way. The specification of such mappings is a fundamenta...
Bogdan Alexe, Laura Chiticariu, Renée J. Mi...
BMCBI
2010
140views more  BMCBI 2010»
13 years 5 months ago
An improved machine learning protocol for the identification of correct Sequest search results
Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
Morten Kallberg, Hui Lu