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JAR
2007
142views more  JAR 2007»
13 years 9 months ago
Reasoning in Description Logics by a Reduction to Disjunctive Datalog
As applications of description logics proliferate, efficient reasoning with knowledge bases containing many assertions becomes ever more important. For such cases, we developed a n...
Ullrich Hustadt, Boris Motik, Ulrike Sattler
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
AUSDM
2007
Springer
93views Data Mining» more  AUSDM 2007»
14 years 3 months ago
Customer Analytics Projects: Addressing Existing Problems with a Process that Leads to Success
This article explicitly outlines an approach designed to allow optimal utilisation of Analytics in the industry setting. The paper focuses on the key stages of the Analytics proce...
Inna Kolyshkina, Simeon J. Simoff
PAKDD
2010
ACM
128views Data Mining» more  PAKDD 2010»
14 years 1 months ago
Privacy-Preserving Network Aggregation
Abstract. Consider the scenario where information about a large network is distributed across several different parties or commercial entities. Intuitively, we would expect that th...
Troy Raeder, Marina Blanton, Nitesh V. Chawla, Kei...
KDD
1995
ACM
109views Data Mining» more  KDD 1995»
14 years 21 days ago
An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
Michael J. Pazzani