Sciweavers

1243 search results - page 139 / 249
» Association Rule Mining from XML Data
Sort
View
IJAR
2011
118views more  IJAR 2011»
14 years 9 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo
AAAI
1996
15 years 7 months ago
Post-Analysis of Learned Rules
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Bing Liu, Wynne Hsu
PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
15 years 10 months ago
Characterization of Default Knowledge in Ripple Down Rules Method
Abstract. \Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incr...
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Tak...
APWEB
2004
Springer
15 years 11 months ago
Improving XML Query Performance Using Social Classes
In a state-of-the-art XML database, an XML query is evaluated as a sequence of structural joins in which positions of data nodes are used to perform each individual structural joi...
Weining Zhang, Douglas Pollok
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 6 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer