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IADIS
2008
15 years 2 months ago
Towards A Model-Driven Engineering Approach of Data Mining
Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling arc...
Jesús Pardillo, José Jacobo Zubcoff,...
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 1 months ago
Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework
Abstract. As more and more person-specific data like health information becomes available, increasing attention is paid to confidentiality and privacy protection. One proposed mode...
Rhonda Chaytor
CIKM
2010
Springer
15 years 1 hour ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
108
Voted
FOSSACS
2007
Springer
15 years 7 months ago
Semantic Barbs and Biorthogonality
We use the framework of biorthogonality to introduce a novel semantic definition of the concept of barb (basic observable) for process calculi. We develop a uniform basic theory o...
Julian Rathke, Vladimiro Sassone, Pawel Sobocinski
RE
2006
Springer
15 years 1 months ago
Requirements quality control: a unifying framework
Literature tends to discuss software (and system) requirements quality control, which includes validation and verification, as a heterogeneous process using a great variety of rel...
Artem Katasonov, Markku Sakkinen