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ESORICS
2005
Springer
14 years 27 days ago
Privacy Preserving Clustering
The freedom and transparency of information flow on the Internet has heightened concerns of privacy. Given a set of data items, clustering algorithms group similar items together...
Somesh Jha, Louis Kruger, Patrick McDaniel
SDM
2007
SIAM
74views Data Mining» more  SDM 2007»
13 years 8 months ago
HACS: Heuristic Algorithm for Clustering Subsets
The term consideration set is used in marketing to refer to the set of items a customer thought about purchasing before making a choice. While consideration sets are not directly ...
Ding Yuan, W. Nick Street
HOTOS
2007
IEEE
13 years 11 months ago
Hyperspaces for Object Clustering and Approximate Matching in Peer-to-Peer Overlays
Existing distributed hash tables provide efficient mechanisms for storing and retrieving a data item based on an exact key, but are unsuitable when the search key is similar, but ...
Bernard Wong, Ymir Vigfusson, Emin Gün Sirer
DMIN
2006
151views Data Mining» more  DMIN 2006»
13 years 8 months ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
14 years 7 months ago
Hierarchical model-based clustering of large datasets through fractionation and refractionation
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle