Using information filtering in web data mining process
Paper
Paper/Presentation Title | Using information filtering in web data mining process |
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Presentation Type | Paper |
Authors | Zhou, Xujuan (Author), Li, Yuefeng (Author), Bruza, Peter (Author), Wu, Sheng-Tang (Author), Xu, Yue (Author) and Lau, Raymond Y. K. (Author) |
Journal or Proceedings Title | Intelligent Agent Technology (IAT 2007 Main Conference Proceedings) |
Number of Pages | 7 |
Year | 2007 |
Place of Publication | United States |
ISBN | 0769530273 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/WI.2007.24 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/document/4427083/ |
Conference/Event | 2007 IEEE/WIC/ACM International Conference on Web Intelligence |
Event Details | 2007 IEEE/WIC/ACM International Conference on Web Intelligence Event Date 02 to end of 05 Nov 2007 Event Location Fremont, United States of America |
Abstract | The amount of Web information is growing rapidly, improving the efficiency and accuracy of Web information retrieval is uphill battle. There are two fundamental issues regarding the effectiveness of Web information gathering: information mismatch and overload. To tackle these difficult issues, an integrated information filtering and sophisticated data processing model has been presented in this paper. In the first phase of the proposed scheme, an information filter that based on user search intents was incorporated in Web search process to quickly filter out irrelevant data. In the second data processing phase, a pattern taxonomy model (PTM) was carried out using the reduced data. PTM rationalizes the data relevance by applying data mining techniques that involves more rigorous computations. Several experiments have been conducted and the results show that more effective and efficient access Web information has been achieved using the new scheme. |
Keywords | Data mining; web filtering; pattern taxonomy |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Queensland University of Technology |
City University of Hong Kong, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3961/using-information-filtering-in-web-data-mining-process
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