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IQ
2007
14 years 11 months ago
Rule-Based Measurement Of Data Quality In Nominal Data
: Sufficiently high data quality is crucial for almost every application. Nonetheless, data quality issues are nearly omnipresent. The reasons for poor quality cannot simply be bla...
Jochen Hipp, Markus Müller, Johannes Hohendor...
AAI
2007
132views more  AAI 2007»
14 years 10 months ago
Incremental Extraction of Association Rules in Applicative Domains
In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately with a single query...
Arianna Gallo, Roberto Esposito, Rosa Meo, Marco B...
JC
2006
86views more  JC 2006»
14 years 9 months ago
Randomly shifted lattice rules for unbounded integrands
We study the problem of multivariate integration over Rd with integrands of the form f(x)d(x) where d is a probability density function. Practical problems of this form occur comm...
Frances Y. Kuo, Grzegorz W. Wasilkowski, Benjamin ...
IJMSO
2007
201views more  IJMSO 2007»
14 years 9 months ago
A context-aware meeting alert using semantic web and rule technology
This paper describes work in progress developing a context-aware meeting alert. This application integrates semantic web technology in RDF (for representing calendars), semantic we...
Grigoris Antoniou, Antonis Bikakis, Anna Karamoleg...
ML
2000
ACM
154views Machine Learning» more  ML 2000»
14 years 9 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb