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» Frequent Itemsets Mining for Database Auto-Administration
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KAIS
2006
164views more  KAIS 2006»
13 years 5 months ago
On efficiently summarizing categorical databases
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
Jianyong Wang, George Karypis
AMT
2006
Springer
108views Multimedia» more  AMT 2006»
13 years 7 months ago
Efficient Frequent Itemsets Mining by Sampling
As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get appro...
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
VLDB
2000
ACM
130views Database» more  VLDB 2000»
13 years 8 months ago
Mining Frequent Itemsets Using Support Constraints
Interesting patterns often occur at varied levels of support. The classic association mining based on a uniform minimum support, such as Apriori, either misses interesting pattern...
Ke Wang, Yu He, Jiawei Han
CORR
2004
Springer
146views Education» more  CORR 2004»
13 years 5 months ago
Mining Frequent Itemsets from Secondary Memory
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...
Gösta Grahne, Jianfei Zhu
ISMIS
2011
Springer
12 years 8 months ago
Data Access Paths in Processing of Sets of Frequent Itemset Queries
Abstract. Frequent itemset mining can be regarded as advanced database querying where a user specifies the dataset to be mined and constraints to be satisfied by the discovered i...
Piotr Jedrzejczak, Marek Wojciechowski