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ER
2010
Springer
129views Database» more  ER 2010»
15 years 1 months ago
SQOWL: Type Inference in an RDBMS
In this paper we describe a method to perform type inference over data stored in an RDBMS, where rules over the data are specified using OWLDL. Since OWL-DL is an implementation of...
Peter McBrien, Nikos Rizopoulos, Andrew Smith
SAC
2010
ACM
14 years 10 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
SDM
2010
SIAM
226views Data Mining» more  SDM 2010»
15 years 5 months ago
Two-View Transductive Support Vector Machines
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
Guangxia Li, Steven C. H. Hoi, Kuiyu Chang
CORR
2010
Springer
106views Education» more  CORR 2010»
15 years 3 months ago
Further Exploration of the Dendritic Cell Algorithm: Antigen Multiplier and Time Windows
Abstract. As an immune-inspired algorithm, the Dendritic Cell Algorithm (DCA), produces promising performance in the field of anomaly detection. This paper presents the application...
Feng Gu, Julie Greensmith, Uwe Aickelin
ICDM
2009
IEEE
142views Data Mining» more  ICDM 2009»
15 years 1 months ago
Building Classifiers with Independency Constraints
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
Toon Calders, Faisal Kamiran, Mykola Pechenizkiy