Using information filtering in web data mining process

Zhou, Xujuan and Li, Yuefeng and Bruza, Peter and Wu, Sheng-Tang and Xu, Yue and Lau, Raymond Y. K. (2007) Using information filtering in web data mining process. In: IEEE/WIC/ACM International Conference on Web Intelligence (IAT 2007), 2-5 Nov, 2007, Fremont, United States.


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.

Statistics for USQ ePrint 29690
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: No Faculty
Date Deposited: 21 Nov 2016 03:29
Last Modified: 23 Nov 2017 07:07
Uncontrolled Keywords: Data mining; web filtering; pattern taxonomy
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
Identification Number or DOI: 10.1109/WI.2007.24

Actions (login required)

View Item Archive Repository Staff Only