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» Scalable Parallel Data Mining for Association Rules
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HIPC
2003
Springer
14 years 24 days ago
Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...
KDD
2000
ACM
203views Data Mining» more  KDD 2000»
13 years 11 months ago
Visualizing association rules with interactive mosaic plots
Heike Hofmann, Arno Siebes, Adalbert F. X. Wilhelm
KDD
1997
ACM
208views Data Mining» more  KDD 1997»
13 years 11 months ago
Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes
In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-gu...
Micheline Kamber, Jiawei Han, Jenny Chiang
ADVIS
2004
Springer
14 years 1 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...
IPPS
1998
IEEE
13 years 12 months ago
High Performance Data Mining Using Data Cubes on Parallel Computers
On-Line Analytical Processing techniques are used for data analysis and decision support systems. The multidimensionality of the underlying data is well represented by multidimens...
Sanjay Goil, Alok N. Choudhary