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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
14 years 7 months ago
A quickstart in frequent structure mining can make a difference
Siegfried Nijssen, Joost N. Kok
SDMW
2004
Springer
14 years 21 days ago
Experimental Analysis of Privacy-Preserving Statistics Computation
The recent investigation of privacy-preserving data mining and other kinds of privacy-preserving distributed computation has been motivated by the growing concern about the privacy...
Hiranmayee Subramaniam, Rebecca N. Wright, Zhiqian...
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
13 years 9 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo
CSSE
2006
IEEE
13 years 7 months ago
Experimental analysis of a privacy-preserving scalar product protocol
The recent investigation of privacy-preserving data mining has been motivated by the growing concern about the privacy of individuals when their data is stored, aggregated, and mi...
Zhiqiang Yang, Rebecca N. Wright, Hiranmayee Subra...
SDM
2007
SIAM
117views Data Mining» more  SDM 2007»
13 years 8 months ago
Discriminating Subsequence Discovery for Sequence Clustering
In this paper, we explore the discriminating subsequencebased clustering problem. First, several effective optimization techniques are proposed to accelerate the sequence mining p...
Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Ka...