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88
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IPPS
1999
IEEE
15 years 5 months ago
The Computational Co-op: Gathering Clusters into a Metacomputer
We explore the creation of a metacomputer by the aggregation of independent sites. Joining a metacomputer is voluntary, and hence it has to be an endeavor that mutually benefits a...
Walfredo Cirne, Keith Marzullo
147
Voted
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
15 years 3 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
IFIP12
2007
15 years 2 months ago
Clustering Improves the Exploration of Graph Mining Results
Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters
132
Voted
ISBI
2011
IEEE
14 years 4 months ago
Atlas-based fiber clustering for multi-subject analysis of high angular resolution diffusion imaging tractography
High angular resolution diffusion imaging (HARDI) allows in vivo analysis of the white matter structure and connectivity. Based on orientation distribution functions (ODFs) that r...
Gautam Prasad, Neda Jahanshad, Iman Aganj, Christo...
102
Voted
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
15 years 6 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh