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DIS
2009
Springer
16 years 1 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
MSR
2009
ACM
16 years 1 months ago
Tracking concept drift of software projects using defect prediction quality
Defect prediction is an important task in the mining of software repositories, but the quality of predictions varies strongly within and across software projects. In this paper we...
Jayalath Ekanayake, Jonas Tappolet, Harald Gall, A...
FOCS
2008
IEEE
16 years 1 months ago
Size Bounds and Query Plans for Relational Joins
Relational joins are at the core of relational algebra, which in turn is the core of the standard database query language SQL. As their evaluation is expensive and very often domi...
Albert Atserias, Martin Grohe, Dániel Marx
IJCNN
2008
IEEE
16 years 1 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
MOBIQUITOUS
2008
IEEE
16 years 1 months ago
Exploiting Schelling behavior for improving data accessibility in mobile peer-to-peer networks
In 1969, Thomas Schelling proposed one of the most cited models in economics to explain how similar people (e.g. people with the same race, education, community) group together in...
Long Vu, Klara Nahrstedt, Matthias Hollick