174 search results - page 5 / 35 » Probabilistic frequent itemset mining in uncertain databases |
VLDB
2000
ACM
13 years 11 months ago
2000
ACM
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...
CORR
2004
Springer
13 years 7 months ago
2004
Springer
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...
SBACPAD
2003
IEEE
14 years 27 days ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
ICDM
2003
IEEE
14 years 28 days ago
2003
IEEE
Traditional methods for frequent itemset mining typically assume that data is centralized and static. Such methods impose excessive communication overhead when data is distributed...
DAWAK
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. In this paper, we propose a novel mining task: mining frequent superset from the database of itemsets that is useful in bioinformatics, e-learning systems, jobshop schedu...