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» An Approach to Clustering Abstracts
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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
14 years 11 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...
FSTTCS
2009
Springer
14 years 3 months ago
Bounded Size Graph Clustering with Applications to Stream Processing
We introduce a graph clustering problem motivated by a stream processing application. Input to our problem is an undirected graph with vertex and edge weights. A cluster is a subse...
Rohit Khandekar, Kirsten Hildrum, Sujay Parekh, De...
ATAL
2006
Springer
14 years 2 months ago
Efficient agent-based cluster ensembles
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
Adrian K. Agogino, Kagan Tumer
SAS
2010
Springer
149views Formal Methods» more  SAS 2010»
13 years 9 months ago
Boxes: A Symbolic Abstract Domain of Boxes
Symbolic Abstract Domain of Boxes Arie Gurfinkel and Sagar Chaki Carnegie Mellon University Abstract. Numeric abstract domains are widely used in program analyses. The simplest nu...
Arie Gurfinkel, Sagar Chaki
BERTINORO
2005
Springer
14 years 4 months ago
Self-Aware Software - Will It Become a Reality?
The possibility of building self-aware software fascinated computer scientist since the beginning of computer science. Research in AI, and in particular on software agents, agent s...
Péter András, Bruce G Charlton