Sciweavers

138 search results - page 12 / 28
» Discovering and Processing Sequential Patterns in Databases
Sort
View
ICDE
2005
IEEE
146views Database» more  ICDE 2005»
15 years 11 months ago
Mining Evolving Customer-Product Relationships in Multi-Dimensional Space
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships be...
Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin
CIKM
1998
Springer
15 years 1 months ago
Efficient Enumeration of Frequent Sequences
In this paper we present SPADE, a new algorithm for fast discovery of Sequential Patterns. The existing solutions to this problem make repeated database scans, and use complex has...
Mohammed Javeed Zaki
ICDE
2004
IEEE
115views Database» more  ICDE 2004»
15 years 11 months ago
Go Green: Recycle and Reuse Frequent Patterns
In constrained data mining, users can specify constraints that can be used to prune the search space to avoid mining uninteresting knowledge. Since it is difficult to determine th...
Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Anthony K. ...
CIKM
2009
Springer
15 years 4 months ago
Using domain ontology for semantic web usage mining and next page prediction
This paper proposes the integration of semantic information drawn from a web application’s domain knowledge into all phases of the web usage mining process (preprocessing, patte...
Nizar R. Mabroukeh, Christie I. Ezeife
72
Voted
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
15 years 3 months ago
Fast mining of spatial collocations
Spatial collocation patterns associate the co-existence of nonspatial features in a spatial neighborhood. An example of such a pattern can associate contaminated water reservoirs ...
Xin Zhang, Nikos Mamoulis, David W. Cheung, Yutao ...