Title :
Prediction of User´s Behavior BASED on Matrix Clustering
Author :
Peng, Yu Qing ; Xiao, Guo Xi ; Lin, Tao
Author_Institution :
Sch. of Comput. Sci. & Eng., Hebei Univ. of Technol., Tianjin
Abstract :
With the explosive growth of data available on the Internet, discovery and analysis of useful information from the Internet become a practical necessity. In this paper, the problem of predicting a user´s behavior on a Web site is studied. A User1D-URL matrix is created and user clustering pattern and path predication are derived. A new algorithm is introduced in order to increase the speed of clustering. The experiments show that the Web page predicting through matrix clustering has high hit probability
Keywords :
Internet; data mining; pattern clustering; probability; sparse matrices; Internet; User1D-URL matrix; Web site; matrix pattern clustering; probability; user behavior; Algorithm design and analysis; Computer science; Cybernetics; Data engineering; Data mining; Data structures; Electronic mail; Explosives; Information analysis; Internet; Machine learning; Sparse matrices; Uniform resource locators; Web pages; Matrix Clustering; Web Mining; predicting user behavior;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258701
