NDLI: Efficient Approach for Repeated Patterns Mining Based on Indent Shape of HTML Documents

Content Provider	IEEE Xplore Digital Library
Author	Yanxu Zhu Gang Yin Huaimin Wang Dianxi Shi Xiang Rao Lin Yuan
Copyright Year	2011
Abstract	Mining of repeated patterns from HTML documents is the key step towards Web-based data mining and knowledge extraction. Many web crawling applications need efficient repeated patterns mining techniques to generate their wrapper automatically. Existing approaches such as tree matching and string matching can detect repeated patterns with high precision, but their performance is still a challenge for practical web crawling applications. In this paper, we propose an efficient approach for mining repeated patterns based on indent shape of HTML document. Indent shape is a novel and simple model of HTML document, in which tandem repeated waves have strong association with the repeated patterns to be detected. By scanning an indent shape with a horizontal indent-line from bottom to top, the tandem repeated waves are identified by filtering the wave segments with low self-similarities. After that the boundary of HTML code corresponding to repeated patterns can be identified, which could be transformed to regular expressions formal-defined easily. Extensive experiments on two practical data sets retrieved from Internet show that our approach achieves high efficiency significantly, and its precision performance is also generally better than the existing approaches.
Starting Page	32
Ending Page	39
File Size	515684
Page Count	8
File Format	PDF
ISBN	9781457718274
DOI	10.1109/CyberC.2011.15
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Visualization Shape Repeated Patterns Mining Web pages Web Crawling Tandem Repeated Waves HTML Vectors Data mining Indent shape
Content Type	Text
Resource Type	Article

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