NDLI: Internet medicine information monitoring system based on focused crawler

Content Provider	IEEE Xplore Digital Library
Author	Hong-yi Yan Ping Hao
Copyright Year	2010
Description	Author affiliation: College of Computer Science and Technology, Zhe jiang University of Technology, Hangzhou, China (Ping Hao) \|\| College of Information Engineering, Zhejiang University of Technology, Hangzhou, China (Hong-yi Yan)
Abstract	Aiming at the problem, which it is difficult to monitor the medicine trade information on Internet, proposed a combined strategy that searched specific topic on the Internet based on analyzing focused crawler's searching algorithm. The combined strategy includes page-searching and relativity analysis. Page relativity algorithm adopts improved Fish-Search algorithm; Relativity analysis adopts distributed algorithm, hereinto the first step makes use of Vector space model (VSM) algorithm to find out the great topic in the rough. The second step adopts improved Native bayes classification algorithm to select the correlative small topic from the previous step's result. On basis of researching, develops an information monitoring system facing the medicine on Internet. By testing the data of some websites and forums' page, the result shows, the combined searching strategy improves the harvest ratio and small topic search's efficiency of the focused crawler system.
Starting Page	452
Ending Page	456
File Size	108265
Page Count	5
File Format	PDF
ISBN	9781424473847
e-ISBN	9781424473861
DOI	10.1109/ICICIS.2010.5534784
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis System testing Computerized monitoring Crawlers Distributed relativity algorithm Educational institutions Functional analysis Information analysis Uniform resource locators Computer science Focused crawler Fish-Search algorithm Internet
Content Type	Text
Resource Type	Article

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