120 search results - page 14 / 24 » Self-Similar Mining of Time Association Rules |
ICDE
2008
IEEE
15 years 8 days ago
2008
IEEE
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
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...
CIKM
2006
Springer
14 years 2 months ago
2006
Springer
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
ASC
2011
13 years 6 months ago
2011
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
KDD
1997
ACM
14 years 2 months ago
1997
ACM
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...