171 search results - page 5 / 35 » Statistical Supports for Frequent Itemsets on Data Streams |
CORR
2010
Springer
13 years 11 months ago
2010
Springer
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
INAP
2001
Springer
14 years 3 months ago
2001
Springer
This paper presents new techniques for focusing the discoveryof frequent itemsets within large, dense datasets containing highly frequent items. The existence of highly frequent i...
KAIS
2008
13 years 10 months ago
2008
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
DAWAK
2004
Springer
14 years 4 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...
PKDD
2004
Springer
14 years 4 months ago
2004
Springer
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...