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» Mining Frequent Itemsets Using Genetic Algorithm
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DAWAK
2000
Springer
15 years 2 months ago
Mining Frequent Binary Expressions
In data mining, searching for frequent patterns is a common basic operation. It forms the basis of many interesting decision support processes. In this paper we present a new type ...
Toon Calders, Jan Paredaens
IDEAL
2003
Springer
15 years 3 months ago
Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design
Mining frequent patterns has been a topic of active research because it is computationally the most expensive step in association rule discovery. In this paper, we discuss the use ...
Raj P. Gopalan, Yudho Giri Sucahyo
MLG
2007
Springer
15 years 3 months ago
Improving Frequent Subgraph Mining in the Presence of Symmetry
While recent algorithms for mining the frequent subgraphs of a database are efficient in the general case, these algorithms tend to do poorly on databases that have a few or no la...
Christian Desrosiers, Philippe Galinier, Pierre Ha...
DIS
2008
Springer
14 years 11 months ago
Constructing Iceberg Lattices from Frequent Closures Using Generators
Frequent closures (FCIs) and generators (FGs) as well as the precedence relation on FCIs are key components in the definition of a variety of association rule bases. Although their...
Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, R...
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don