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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
14 years 7 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
CHI
2006
ACM
14 years 7 months ago
A goal-oriented web browser
Many users are familiar with the interesting but limited functionality of Data Detector interfaces like Microsoft's Smart Tags and Google's AutoLink. In this paper we si...
Alexander Faaborg, Henry Lieberman
SIGMOD
2008
ACM
101views Database» more  SIGMOD 2008»
14 years 7 months ago
Pay-as-you-go user feedback for dataspace systems
A primary challenge to large-scale data integration is creating semantic equivalences between elements from different data sources that correspond to the same real-world entity or...
Shawn R. Jeffery, Michael J. Franklin, Alon Y. Hal...
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
14 years 7 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...
SIGMOD
2008
ACM
214views Database» more  SIGMOD 2008»
14 years 7 months ago
A graph method for keyword-based selection of the top-K databases
While database management systems offer a comprehensive solution to data storage, they require deep knowledge of the schema, as well as the data manipulation language, in order to...
Quang Hieu Vu, Beng Chin Ooi, Dimitris Papadias, A...