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
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;
Conference_Titel :
Data Mining, 2001. ICDM 2001, Proceedings IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
0-7695-1119-8
DOI :
10.1109/ICDM.2001.989599
