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» Identifying non-actionable association rules
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AI
2003
Springer
14 years 24 days ago
Negotiating Exchanges of Private Information for Web Service Eligibility
Private information about individuals that engage in e-commerce business transactions is of economic value to businesses for market analysis and for identifying possible future par...
Keping Jia, Bruce Spencer
COLING
2008
13 years 9 months ago
Investigating Statistical Techniques for Sentence-Level Event Classification
The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Summarisation. In ...
Martina Naughton, Nicola Stokes, Joe Carthy
LREC
2010
168views Education» more  LREC 2010»
13 years 9 months ago
Formal Description of Resources for Ontology-based Semantic Annotation
Ontology-based semantic annotation aims at putting fragments of a text in correspondence with proper elements of an ontology such that the formal semantics encoded by the ontology...
Yue Ma, Adeline Nazarenko, Laurent Audibert
ANLP
1994
97views more  ANLP 1994»
13 years 9 months ago
Recycling Terms into a Partial Parser
Both full-text information retrieval and large scale parsing require text preprocessing to identify strong lexical associations in textual databases. In order to associate linguis...
Christian Jacquemin
VLDB
1998
ACM
147views Database» more  VLDB 1998»
13 years 11 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...