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AI
2001
Springer
15 years 4 months ago
A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property
As new transactions update data sources and subsequently the data warehouse, the previously discovered association rules in the old database may no longer be interesting rules in ...
Zequn Zhou, C. I. Ezeife
KDD
1995
ACM
85views Data Mining» more  KDD 1995»
15 years 3 months ago
Estimating the Robustness of Discovered Knowledge
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...
Chun-Nan Hsu, Craig A. Knoblock
EDOC
2006
IEEE
15 years 5 months ago
VIDRE - A Distributed Service-Oriented Business Rule Engine based on RuleML
Business rules provide an elegant solution to manage dynamic business logic by separating business knowledge from its implementation logic. The drawback of most existing business ...
Christoph Nagl, Florian Rosenberg, Schahram Dustda...
COLT
2005
Springer
15 years 5 months ago
Analysis of Perceptron-Based Active Learning
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Montele...
SEMWEB
2009
Springer
15 years 6 months ago
Queries to Hybrid MKNF Knowledge Bases through Oracular Tabling
An important issue for the Semantic Web is how to combine open-world ontology languages with closed-world (non-monotonic) rule paradigms. Several proposals for hybrid languages all...
José Júlio Alferes, Matthias Knorr, ...