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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shiqun Yin Gang Wang Yuhui Qiu Weiqun Zhang |
| Copyright Year | 2007 |
| Description | Author affiliation: Southwest Univ., Chongqing (Shiqun Yin; Gang Wang; Yuhui Qiu; Weiqun Zhang) |
| Abstract | Research and application of Web text mining is an important branch in the data mining. Web is the biggest information system currently. Now people mainly use the search engine to look up Web information. The problem of getting reliable rate and comprehensive rate is increasingly convex, and it is very difficult to mine data further. Now the search engine can hardly provide individual service according to different need of different customers. However, Web text mining aims at resolving this problem. This paper discusses an Algorithm of how to follow the appointed Website or Web page according to the user's request, how to analysis, compare, sample, reserve and classify the data information combined with the Web page text contents for later use. The model of Web text mining, mining algorithm and implement technique are discussed in details. |
| Starting Page | 446 |
| Ending Page | 449 |
| File Size | 244677 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769530079 |
| DOI | 10.1109/SKG.2007.105 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Text mining Information science Text categorization Web pages Data visualization Search engines Grid computing Classification algorithms Data mining Information systems |
| Content Type | Text |
| Resource Type | Article |
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