583 search results - page 21 / 117 » Mining evolving data streams for frequent patterns |
KDD
2010
ACM
15 years 1 months ago
2010
ACM
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
AUSDM
2007
Springer
15 years 3 months ago
2007
Springer
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
74
Voted
SIGKDD
2010
14 years 4 months ago
2010
This report summarizes the First International Workshop on Novel Data Stream Pattern Mining held at the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mi...
PKDD
2004
Springer
15 years 3 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...
75
Voted
IEAAIE
2009
Springer
15 years 4 months ago
2009
Springer
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...