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A lattice‐based framework for interactively and incrementally mining web traversal patterns

Yue‐Shi Lee (Department of Computer Science and Information Engineering, Ming Chuan University, 5 The‐Ming Rd., Gwei Shan District, Taoyuan County 333, Taiwan, ROC)
Show‐Jane Yen (Department of Computer Science and Information Engineering, Ming Chuan University, 5 The‐Ming Rd., Gwei Shan District, Taoyuan County 333, Taiwan, ROC)
Min‐Chi Hsieh (Department of Computer Science and Information Engineering, National Taiwan University, No.1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan, ROC)

International Journal of Web Information Systems

ISSN: 1744-0084

Article publication date: 1 November 2005

252

Abstract

Web mining is one of the mining technologies, which applies data mining techniques in large amount of web data to improve the web services. Web traversal pattern mining discovers most of the users’ access patterns from web logs. This information can provide the navigation suggestions for web users such that appropriate actions can be adopted. However, the web data will grow rapidly in the short time, and some of the web data may be antiquated. The user behaviors may be changed when the new web data is inserted into and the old web data is deleted from web logs. Besides, it is considerably difficult to select a perfect minimum support threshold during the mining process to find the interesting rules. Even though the experienced experts, they also cannot determine the appropriate minimum support. Thus, we must constantly adjust the minimum support until the satisfactory mining results can be found. The essences of incremental or interactive data mining are that we can use the previous mining results to reduce the unnecessary processes when the minimum support is changed or web logs are updated. In this paper, we propose efficient incremental and interactive data mining algorithms to discover web traversal patterns and make the mining results to satisfy the users’ requirements. The experimental results show that our algorithms are more efficient than the other approaches.

Keywords

Citation

Lee, Y., Yen, S. and Hsieh, M. (2005), "A lattice‐based framework for interactively and incrementally mining web traversal patterns", International Journal of Web Information Systems, Vol. 1 No. 4, pp. 197-208. https://doi.org/10.1108/17440080580000093

Publisher

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Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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