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» Scalability for Clustering Algorithms Revisited
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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 7 days ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
IPPS
1996
IEEE
15 years 4 months ago
Practical Parallel Algorithms for Dynamic Data Redistribution, Median Finding, and Selection
A common statistical problem is that of nding the median element in a set of data. This paper presents a fastand portable parallel algorithm for nding the median given a set of el...
David A. Bader, Joseph JáJá
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 11 days ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
MICCAI
2002
Springer
16 years 21 days ago
Robust Registration of Multi-modal Images: Towards Real-Time Clinical Applications
Abstract. High performance computing has become a key step to introduce computer tools, like real-time registration, in the medical field. To achieve real-time processing, one usua...
Radu Stefanescu, Sébastien Ourselin, Xavier...
SDM
2009
SIAM
184views Data Mining» more  SDM 2009»
15 years 9 months ago
DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
Emmanuel Müller, Ira Assent, Ralph Krieger, S...