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» Mining Approximative Descriptions of Sets Using Rough Sets
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PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
15 years 10 months ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...
VISUALIZATION
1996
IEEE
15 years 9 months ago
Real-time Slicing of Data Space
This can be a costly operation. When the data is arranged according to its three-dimensional coordinates, calculating the contour surfaces requires examining each data cell. Avoidi...
Roger Crawfis
DEXA
2005
Springer
148views Database» more  DEXA 2005»
15 years 11 months ago
XG: A Data-Driven Computation Grid for Enterprise-Scale Mining
In this paper we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. We show how such an architecture can be le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Wen-...
CIKM
2005
Springer
15 years 11 months ago
Maximal termsets as a query structuring mechanism
Search engines process queries conjunctively to restrict the size of the answer set. Further, it is not rare to observe a mismatch between the vocabulary used in the text of Web p...
Bruno Pôssas, Nivio Ziviani, Berthier A. Rib...
161
Voted
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
16 years 5 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...