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IDEAL
2003
Springer
15 years 10 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
CORR
2010
Springer
279views Education» more  CORR 2010»
15 years 5 months ago
Mining Frequent Itemsets Using Genetic Algorithm
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
Soumadip Ghosh, Sushanta Biswas, Debasree Sarkar, ...
157
Voted
WEBI
2007
Springer
15 years 11 months ago
Growing Hierarchical Self-Organizing Maps for Web Mining
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
Joseph P. Herbert, Jingtao Yao
134
Voted
DIS
2006
Springer
15 years 8 months ago
Symmetric Item Set Mining Based on Zero-Suppressed BDDs
In this paper, we propose a method for discovering hidden information from large-scale item set data based on the symmetry of items. Symmetry is a fundamental concept in the theory...
Shin-ichi Minato
CORR
2010
Springer
108views Education» more  CORR 2010»
15 years 5 months ago
Mining The Successful Binary Combinations: Methodology and A Simple Case Study
The importance of finding the characteristics leading to either a success or a failure is one of the driving forces of data mining. The various application areas of finding succes...
Yuval Cohen