在Web日志挖掘中实现高级清理和最终用户可解释性技术

ITI 2002. Proceedings of the 24th International Conference on Information Technology Interfaces (IEEE Cat. No.02EX534) Pub Date : 2002-11-07 DOI:10.1109/ITI.2002.1024660

Z. Pabarskaite

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引用次数: 36

摘要

提出了两种新的Web日志挖掘方法。新颖的高级清理改进了Web日志挖掘结果。改进的过滤从其他页面删除没有链接的页面。在数据可视化阶段，Web页面的技术表示被用户感兴趣的文本解释所取代。实际问题的实验表明，所提出的技术显著提高了Web日志挖掘结果的质量和有用性。

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Implementing advanced cleaning and end-user interpretability technologies in Web log mining

Two new approaches to Web log mining are presented. Novel advanced cleaning improves Web log mining results. Improved filtering removes pages with no links from other pages. In the data visualisation phase, technical representations of Web pages are replaced by user attractive text interpretations. Experiments with the real world problems showed that the proposed techniques significantly increase the quality and usefulness of Web log mining results.

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ITI 2002. Proceedings of the 24th International Conference on Information Technology Interfaces (IEEE Cat. No.02EX534)

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