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KDD
1994
ACM
82views Data Mining» more  KDD 1994»
13 years 9 months ago
Architectural Support for Data Mining
Oneof the mainobstacles in applying data mining techniques to large, real-world databasesis the lack of efficient data management.In this paper, wepresent the design and implement...
Marcel Holsheimer, Martin L. Kersten
PARCO
1997
13 years 6 months ago
Parallel Database Techniques in Decision Support and Data Mining
During the last decade, all commercial database systems have included features for parallel processing into their products. This development has been driven by the fact that datab...
Andreas Reuter
ANNPR
2006
Springer
13 years 8 months ago
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
Yusuke Torii, Shigeo Abe
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 5 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda
PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
13 years 10 months ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo