Title
From Sequential Patterns to Structural Relation Patterns
Abstract
As an important branch of data mining, sequential patterns mining has been extensively studied. Based on sequential patterns mining, Structural Relation Patterns (SRPs) mining is proposed for mining relations among sequences, these relations are generally hidden behind sequential patterns. Upon the previous researches, the concepts of concurrent relation pattern and exclusive relation pattern are redefined; the definitions of ordered relation pattern and iterate relation pattern are given. The properties of SRPs are discussed, and they form a theoretical foundation for further study of structural relation patterns and relative mining algorithms. Beside, the thinking of mining associate relations among sequential patterns is proposed. SRPs mining is significant in practical applications same as sequential patterns mining.
Year
DOI
Venue
2009
10.1109/EmbeddedCom-ScalCom.2009.35
ScalCom-EmbeddedCom
Keywords
Field
DocType
concurrent relation pattern,sequential pattern,data mining,srps mining,relative mining algorithm,associate relation,structural relation patterns,iterate relation pattern,sequential patterns,exclusive relation pattern,mining relation,sequential patterns mining,sequential pattern mining,probability density function,silicon,optimization,support vector machines,databases
Data mining,Computer science,Support vector machine,Probability density function,Chemical technology
Conference
Volume
Issue
ISSN
null
null
2072-5639
Citations 
PageRank 
References 
0
0.34
17
Authors
5
Name
Order
Citations
PageRank
Weiru Chen1466.64
Yang Zhang200.34
Shanshan Chen3151.49
Funan Peng400.34
Jing Lu500.34