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» Learning Rules from Distributed Data
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SAINT
2005
IEEE
15 years 5 months ago
Learning Logic Wrappers for Information Extraction from the Web
This paper discusses a methodology for applying general-purpose first-order inductive learning to extract information from Web documents structured as unranked ordered trees. The...
Costin Badica, Elvira Popescu, Amelia Badica
DATAMINE
2008
112views more  DATAMINE 2008»
14 years 11 months ago
PRIE: a system for generating rulelists to maximize ROC performance
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
Tom Fawcett
ECML
1993
Springer
15 years 3 months ago
SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
Gilles Venturini
94
Voted
KDD
1994
ACM
98views Data Mining» more  KDD 1994»
15 years 3 months ago
Rule Induction for Semantic Query Optimization
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn required semantic rules has no...
Chun-Nan Hsu, Craig A. Knoblock
128
Voted
BTW
2007
Springer
191views Database» more  BTW 2007»
15 years 5 months ago
The Information Integrator: Using Semantic Technology to provide a single view to distributed data
: For the integration of data that resides in autonomous data sources Software AG uses ontologies. Data source ontologies describe the data sources themselves. Business ontologies ...
Jürgen Angele, Michael Gesmann