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» Refining Information Extraction Rules using Data Provenance
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FBIT
2007
IEEE
13 years 11 months ago
Rough Set Based Information Retrieval from Argumentative Data Points in Weblogs
This paper describes a decision tree model and 3dimensional representation of information retrieved from various weblogs in relation to argumentative logics. The weblogs are consi...
Sea Woo Kim, Chin-Wan Chung
LWA
2008
13 years 6 months ago
Rule-Based Information Extraction for Structured Data Acquisition using TextMarker
Information extraction is concerned with the location of specific items in (unstructured) textual documents, e.g., being applied for the acquisition of structured data. Then, the ...
Martin Atzmüller, Peter Klügl, Frank Pup...
CONCURRENCY
2008
142views more  CONCURRENCY 2008»
13 years 4 months ago
Provenance trails in the Wings/Pegasus system
Our research focuses on creating and executing large-scale scientific workflows that often involve thousands of computations over distributed, shared resources. We describe an app...
Jihie Kim, Ewa Deelman, Yolanda Gil, Gaurang Mehta...
ACSW
2004
13 years 6 months ago
A Market-based Rule Learning System
In this paper, a `market trading' technique is integrated with the techniques of rule discovery and refinement for data mining. A classifier system-inspired model, the market...
Qingqing Zhou, Martin K. Purvis
ENTCS
2008
99views more  ENTCS 2008»
13 years 4 months ago
ArcAngelC: a Refinement Tactic Language for Circus
Circus is a refinement language, in which specifications define both data and behavioural aspects of concurrent systems using a combination of Z and CSP. Its refinement theory and...
M. V. M. Oliveira, A. L. C. Cavalcanti