Services of prediction for visiting path based on improved matrix clustering

Author

Peng, Yu-Qin ; Li, Tie-Jun ; Chen, Mei-Na ; Lin, Tao

Author_Institution

Sch. of Comput. Sci. & Eng., Hebei Univ. of Technol., Tianjin, China

Volume

3

fYear

2004

fDate

26-29 Aug. 2004

Firstpage

1723

Abstract

According to the analysis of Web log files, matrix clustering algorithm not only can be optimized, but also mining results can be applied to predicting users´ visiting path and classify new users. The data-preprocessing phase has been discussed in detail. Then, Web log mining algorithms and pattern analysis and appliance phase are presented, including the optimized matrix clustering algorithm and the basic idea and realization of the prediction algorithm. Experiments show that the algorithm is effective and feasible.

Keywords

Web sites; data mining; matrix algebra; optimisation; pattern classification; pattern clustering; prediction theory; user interfaces; Web log file analysis; Web log mining algorithms; appliance phase; data preprocessing phase; graph theory; information services; optimized matrix clustering algorithm; pattern analysis; user classification; user visiting path prediction algorithm; Algorithm design and analysis; Clustering algorithms; Computer science; Counting circuits; Data mining; Electronic mail; Home appliances; Robotics and automation; Topology; Web mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on

Print_ISBN

0-7803-8403-2

Type

conf

DOI

10.1109/ICMLC.2004.1382053

Filename

1382053