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» Efficient Distribution Mining and Classification
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SDM
2008
SIAM
97views Data Mining» more  SDM 2008»
13 years 5 months ago
Efficient Distribution Mining and Classification
We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
IPPS
1998
IEEE
13 years 8 months ago
ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets
In this paper, we present ScalParC (Scalable Parallel Classifier), a new parallel formulation of a decision tree based classification process. Like other state-of-the-art decision...
Mahesh V. Joshi, George Karypis, Vipin Kumar
KAIS
2008
99views more  KAIS 2008»
13 years 4 months ago
Privacy-preserving SVM classification
Classical data mining algorithms implicitly assume complete access to all data, either in centralized or federated form. However, privacy and security concerns often prevent sharin...
Jaideep Vaidya, Hwanjo Yu, Xiaoqian Jiang
SDM
2008
SIAM
119views Data Mining» more  SDM 2008»
13 years 5 months ago
An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
Kanishka Bhaduri, Hillol Kargupta