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LWA
2004
13 years 10 months ago
Efficient Frequent Pattern Mining in Relational Databases
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind ...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
FIMI
2004
123views Data Mining» more  FIMI 2004»
13 years 10 months ago
Surprising Results of Trie-based FIM Algorithms
Trie is a popular data structure in frequent itemset mining (FIM) algorithms. It is memory-efficient, and allows fast construction and information retrieval. Many trie-related tec...
Ferenc Bodon
FIMI
2004
172views Data Mining» more  FIMI 2004»
13 years 10 months ago
AIM2: Improved implementation of AIM
We present AIM2-F, an improved implementation of AIM-F [4] algorithm for mining frequent itemsets. Past studies have proposed various algorithms and techniques for improving the e...
Sagi Shporer
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
14 years 6 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki
PAKDD
2005
ACM
132views Data Mining» more  PAKDD 2005»
14 years 2 months ago
On Multiple Query Optimization in Data Mining
Traditional multiple query optimization methods focus on identifying common subexpressions in sets of relational queries and on constructing their global execution plans. In this p...
Marek Wojciechowski, Maciej Zakrzewicz