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» Theoretical Frameworks for Data Mining
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GI
2008
Springer
13 years 10 months ago
Semi-Automatic Ontology Engineering in Business Applications
: Search technology can be applied to many applications and is in the heart of always growing information society. A promising new development is the use of ontologies to enable se...
Felix Burkhardt, Jon Atle Gulla, Jin Liu, Christia...
FOCS
2000
IEEE
14 years 1 months ago
Opportunistic Data Structures with Applications
There is an upsurging interest in designing succinct data structures for basic searching problems (see [23] and references therein). The motivation has to be found in the exponent...
Paolo Ferragina, Giovanni Manzini
AI
2002
Springer
13 years 9 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
VLDB
2010
ACM
144views Database» more  VLDB 2010»
13 years 7 months ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou
CORR
2008
Springer
96views Education» more  CORR 2008»
13 years 9 months ago
Cardinality heterogeneities in Web service composition: Issues and solutions
Abstract. Data exchanges between Web services engaged in a composition raise several heterogeneities. In this paper, we address the problem of data cardinality heterogeneity in a c...
Michael Mrissa, Philippe Thiran, Jean-Marie Jacque...