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HPDC
2010
IEEE
15 years 6 months ago
DiscFinder: a data-intensive scalable cluster finder for astrophysics
DiscFinder is a scalable approach for identifying large-scale astronomical structures, such as galaxy clusters, in massive observation and simulation astrophysics datasets. It is ...
Bin Fu, Kai Ren, Julio López, Eugene Fink, ...
WWW
2005
ACM
16 years 6 months ago
Clustering for probabilistic model estimation for CF
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...
Qing Li, Byeong Man Kim, Sung-Hyon Myaeng
SDM
2009
SIAM
160views Data Mining» more  SDM 2009»
16 years 2 months ago
Discovering Substantial Distinctions among Incremental Bi-Clusters.
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
Faris Alqadah, Raj Bhatnagar
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
15 years 11 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...
ICDE
2006
IEEE
133views Database» more  ICDE 2006»
16 years 6 months ago
ViEWNet: Visual Exploration of Region-Wide Traffic Networks
Location-based services and data mining algorithms analyzing objects moving on a complex traffic network are becoming increasingly important. In this paper, we introduce a new app...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...