Frameworks for Web Usage Mining

Author:

Kim Haeng-Kon,Lee Roger Y.

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Yang, T., Zhang, H.: HTML Page Analysis Based on Vusual Cues. In: 6th International Conf. Document Analysis and Recognition (ICDAR) (2001)

2. Lee, C.D., Choi, B.J., Gang, Z., Kim, I., Park, K.S.: A Study on Detection Technique of Bookmarking using Favicon in Web Browser. In: Proc. International Conference on East-Asian Language Processing and Interenet Information Technology 2002, EALPIIT 2002, Korea Information Processing Society, pp. 427–433 (2002)

3. Kovacevic, M., Diligenti, M., Gori, M., Maggini, M., Milutinovic, V.: Reconition of Common Areas in a Web page Using Visual Information: a possible application in a page classification. In: Proc. the 2002 IEEE International Conference on Data Mining (ICDM), pp. 250–257 (2002)

4. Jung, Y.-H., Kim, I., Park, K.-S.: Design and Implementation of an Interestingness Analysis System for Web Personalization & Customization. Journal of Korea Multimedia Society 6(4), 707–713 (2003)

5. Cai, D., Yu, S., Wen, J.-R., Ma, W.-Y.: VIPS: a vision-based page segmentation algorithm, Microsoft Technical Report, MSR_TR-2003-79 (2003)

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