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178
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ICDE
1998
IEEE
187views Database» more  ICDE 1998»
15 years 11 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
TKDE
2010
224views more  TKDE 2010»
14 years 8 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
85
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KDD
2004
ACM
163views Data Mining» more  KDD 2004»
15 years 10 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
96
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RML
2002
162views Business» more  RML 2002»
14 years 9 months ago
A Markup Language for ORM Business Rules
Conceptual modeling techniques such as EER, ORM and to some extent the UML have been developed in the past for building information systems. These techniques or suitable extensions...
Jan Demey, Mustafa Jarrar, Robert Meersman
WEBDB
2007
Springer
79views Database» more  WEBDB 2007»
15 years 3 months ago
Navigating Extracted Data with Schema Discovery
Open Information Extraction (OIE) is a recently-introduced type of information extraction that extracts small individual pieces of data from input text without any domainspecific...
Michael J. Cafarella, Dan Suciu, Oren Etzioni