First IEEE International Conference on Data Mining (ICDM'01) San Jose, California November 29-December 02 ISBN: 0-7695-1119-8
Mining sequential patterns is to discover sequential purchasing behaviors of most customers from a large amount of customer transactions. In this paper, a data mining language is presented. From the data mining language, use s can specify the interested items and the criteria of the sequential patterns to be discovered. Also, an efficient data mining technique is proposed to ext act the sequential patterns according to the uses` requests.
Citation:
Show-Jane Yen, Yue-Shi Lee, "An Efficient Data Mining Technique for Discovering Interesting Sequential Patterns," icdm, pp.663, First IEEE International Conference on Data Mining (ICDM'01), 2001 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||