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» Theoretical Frameworks for Data Mining
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GI
2008
Springer
14 years 11 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
15 years 2 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
14 years 10 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»
14 years 8 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»
14 years 10 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...