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» Numbers in Multi-relational Data Mining
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KDD
1998
ACM
136views Data Mining» more  KDD 1998»
14 years 21 days ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma
IPPS
2000
IEEE
14 years 27 days ago
Scalable Parallel Clustering for Data Mining on Multicomputers
This paper describes the design and implementation on MIMD parallel machines of P-AutoClass, a parallel version of the AutoClass system based upon the Bayesian method for determini...
D. Foti, D. Lipari, Clara Pizzuti, Domenico Talia
SSD
1997
Springer
140views Database» more  SSD 1997»
14 years 19 days ago
Spatial Data Mining: A Database Approach
Abstract. Knowledge discovery in databases (KDD) is an important task in spatial databases since both, the number and the size of such databases are rapidly growing. This paper int...
Martin Ester, Hans-Peter Kriegel, Jörg Sander
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 9 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
ICDM
2006
IEEE
81views Data Mining» more  ICDM 2006»
14 years 2 months ago
Full Perfect Extension Pruning for Frequent Graph Mining
Mining graph databases for frequent subgraphs has recently developed into an area of intensive research. Its main goals are to reduce the execution time of the existing basic algo...
Christian Borgelt, Thorsten Meinl