18 search results - page 2 / 4 » Connections between Mining Frequent Itemsets and Learning Ge... |
PKDD
2004
Springer
14 years 21 days 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...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
JIIS
2006
13 years 7 months ago
2006
Abstract In recent years, researchers have begun to study inductive databases, a new generation of databases for leveraging decision support applications. In this context, the user...
SIGMOD
2010
ACM
14 years 5 days ago
2010
ACM
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...