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CCGRID
2009
IEEE
15 years 10 months ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal
DSS
2007
89views more  DSS 2007»
15 years 4 months ago
MSMiner - a developing platform for OLAP
Since the early 1970s, decision support systems (DSS) have evolved significantly. In this paper, the design and implementation of MSMiner, a developing platform for DSS, is introd...
Zhongzhi Shi, Youping Huang, Qing He, Li Da Xu, Sh...
ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
15 years 10 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester
KDD
2003
ACM
210views Data Mining» more  KDD 2003»
16 years 4 months ago
Privacy-preserving k-means clustering over vertically partitioned data
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
Jaideep Vaidya, Chris Clifton
SDM
2009
SIAM
130views Data Mining» more  SDM 2009»
16 years 1 months ago
Grammar Mining.
We introduce the problem of grammar mining, where patterns are context-free grammars, as a generalization of a large number of common pattern mining tasks, such as tree, sequence ...
Luc De Raedt, Siegfried Nijssen