DocumentCode
2336089
Title
An efficient data mining technique for discovering interesting sequential patterns
Author
Yen, Show-Jane ; Lee, Yue-Shi
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Fu Jen Catholic Univ., Taipei, Taiwan
fYear
2001
fDate
2001
Firstpage
663
Lastpage
664
Abstract
Mining sequential patterns is used to discover sequential purchasing behaviors of most customers from a large amount of customer transactions. A data mining language is presented. From the data mining language, users can specify the interested items and the criteria of the sequential patterns to be discovered. Also, an efficient data mining technique is proposed to extract sequential patterns according to user requests
Keywords
data mining; high level languages; retail data processing; very large databases; customer transactions; data mining language; data mining technique; interested items; interesting sequential pattern discovery; sequential pattern discovery; sequential purchasing behavior discovery; user requests; Bismuth; Computer science; Data mining; Databases; Information management; Itemsets; Petroleum;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, 2001. ICDM 2001, Proceedings IEEE International Conference on
Conference_Location
San Jose, CA
Print_ISBN
0-7695-1119-8
Type
conf
DOI
10.1109/ICDM.2001.989599
Filename
989599
Link To Document