Using information filtering in Web data mining process

Xujuan Zhou; Yuefeng Li; Peter Bruza; Sheng-Tang Wu; Yue Xu; Raymond Y. K. Lau

doi:10.1109/WI.2007.24

Using information filtering in Web data mining process

Xujuan Zhou, Yuefeng Li, Peter Bruza, Sheng-Tang Wu, Yue Xu, Raymond Y. K. Lau

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

10 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the IEEE/WIC/ACM international conference on web intelligence (WI 2007)
Editors	Tsau Young Lin, Laura Haas, Janusz Kacprzyk, Rajeev Motwani, Andrei Broder, Howard Ho
Place of Publication	Silicon Valley, CA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	163-169
Number of pages	7
ISBN (Print)	9780769530260
DOIs	https://doi.org/10.1109/WI.2007.24
Publication status	Published - 2007
Externally published	Yes
Event	IEEE/WIC/ACM international conference on web intelligence - Silicon Valley, CA Duration: 2 Nov 2007 → 5 Nov 2007

Conference

Conference	IEEE/WIC/ACM international conference on web intelligence
City	Silicon Valley, CA
Period	2/11/07 → 5/11/07

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10.1109/WI.2007.24

Cite this

Zhou, X., Li, Y., Bruza, P., Wu, S-T., Xu, Y., & Lau, R. Y. K. (2007). Using information filtering in Web data mining process. In T. Y. Lin, L. Haas, J. Kacprzyk, R. Motwani, A. Broder, & H. Ho (Eds.), Proceedings of the IEEE/WIC/ACM international conference on web intelligence (WI 2007) (pp. 163-169). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/WI.2007.24

Zhou, Xujuan ; Li, Yuefeng ; Bruza, Peter et al. / Using information filtering in Web data mining process. Proceedings of the IEEE/WIC/ACM international conference on web intelligence (WI 2007). editor / Tsau Young Lin ; Laura Haas ; Janusz Kacprzyk ; Rajeev Motwani ; Andrei Broder ; Howard Ho. Silicon Valley, CA : Institute of Electrical and Electronics Engineers (IEEE), 2007. pp. 163-169

@inproceedings{b7d817ea517d4e2b8817bd0c77505678,

title = "Using information filtering in Web data mining process",

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.",

author = "Xujuan Zhou and Yuefeng Li and Peter Bruza and Sheng-Tang Wu and Yue Xu and Lau, {Raymond Y. K.}",

year = "2007",

doi = "10.1109/WI.2007.24",

language = "English",

isbn = "9780769530260",

pages = "163--169",

editor = "Lin, {Tsau Young} and Laura Haas and Janusz Kacprzyk and Rajeev Motwani and Andrei Broder and Howard Ho",

booktitle = "Proceedings of the IEEE/WIC/ACM international conference on web intelligence (WI 2007)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "IEEE/WIC/ACM international conference on web intelligence ; Conference date: 02-11-2007 Through 05-11-2007",

}

Zhou, X, Li, Y, Bruza, P, Wu, S-T, Xu, Y & Lau, RYK 2007, Using information filtering in Web data mining process. in TY Lin, L Haas, J Kacprzyk, R Motwani, A Broder & H Ho (eds), Proceedings of the IEEE/WIC/ACM international conference on web intelligence (WI 2007). Institute of Electrical and Electronics Engineers (IEEE), Silicon Valley, CA, pp. 163-169, IEEE/WIC/ACM international conference on web intelligence, Silicon Valley, CA, 2/11/07. https://doi.org/10.1109/WI.2007.24

Using information filtering in Web data mining process. / Zhou, Xujuan; Li, Yuefeng; Bruza, Peter et al.
Proceedings of the IEEE/WIC/ACM international conference on web intelligence (WI 2007). ed. / Tsau Young Lin; Laura Haas; Janusz Kacprzyk; Rajeev Motwani; Andrei Broder; Howard Ho. Silicon Valley, CA: Institute of Electrical and Electronics Engineers (IEEE), 2007. p. 163-169.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Using information filtering in Web data mining process

AU - Zhou, Xujuan

AU - Li, Yuefeng

AU - Bruza, Peter

AU - Wu, Sheng-Tang

AU - Xu, Yue

AU - Lau, Raymond Y. K.

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

UR - http://purl.org/au-research/grants/arc/DP0556455

U2 - 10.1109/WI.2007.24

DO - 10.1109/WI.2007.24

M3 - Conference proceeding contribution

SN - 9780769530260

SP - 163

EP - 169

BT - Proceedings of the IEEE/WIC/ACM international conference on web intelligence (WI 2007)

A2 - Lin, Tsau Young

A2 - Haas, Laura

A2 - Kacprzyk, Janusz

A2 - Motwani, Rajeev

A2 - Broder, Andrei

A2 - Ho, Howard

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Silicon Valley, CA

T2 - IEEE/WIC/ACM international conference on web intelligence

Y2 - 2 November 2007 through 5 November 2007

ER -

Zhou X, Li Y, Bruza P, Wu S-T, Xu Y, Lau RYK. Using information filtering in Web data mining process. In Lin TY, Haas L, Kacprzyk J, Motwani R, Broder A, Ho H, editors, Proceedings of the IEEE/WIC/ACM international conference on web intelligence (WI 2007). Silicon Valley, CA: Institute of Electrical and Electronics Engineers (IEEE). 2007. p. 163-169 doi: 10.1109/WI.2007.24

Using information filtering in Web data mining process

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