Answering form-based web queries using the data-mining approach
Journal of Intelligent Information Systems
Applying latent semantic indexing in frequent itemset mining for document relation discovery
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Tag co-occurrence analysis using the association data mining rule
Proceedings of the 2012 iConference
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Textual information on the Web is very huge, varied, and useful. Although traditional text mining treats a text document as a single piece of information, this approach may not be suitable for Web documents that are long and heterogeneous in their contents. This article presents a new approach that applies the concept of a passage to Web text mining. In this approach, a single Web text document is considered as several passages instead of a single text. To investigate the effectiveness of the approach, Thai Web documents taken from the Internet are used. As our preliminary experiment, we explore the influence of using passages on the construction of association rules by comparing them with a version that does not use passages. © 2004 Wiley Periodicals, Inc.