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A web mining research platform

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SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

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https://doi.org/10.1145/1076034.1076194

Published: 15 August 2005 Publication History

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Abstract

We demonstrate the Alexa Web Mining Platform, a data mining and web service publication platform designed to enable analysis of Alexa's massive web data store. The system provides researchers and developers high speed access to our web crawl, crawl metadata, long term storage, and data publication utilities. We demonstrate the system's capabilities and user interface.

References

[1]

Ong, K-L., Ng, W-K., & Lim, E-P. A Web Mining Platform for Enhancing Knowledge Management on the Web. Proc. of Int. Workshop on Integrating Data Mining and Knowledge Management, in conj. with IEEE Int. Conf. on Data Mining, San Jose, CA, 2001.

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[2]

http://www-diglib.stanford.edu/~testbed/doc2/WebBase/

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[3]

http://www.almaden.ibm.com/webfountain/

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Index Terms

A web mining research platform
1. Information systems
  1. Information retrieval
  2. Information storage systems

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Published In

SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

August 2005

708 pages

ISBN:1595930345

DOI:10.1145/1076034

General Chairs:
Ricardo Baeza-Yates
University of Chile, Chile
,
Nivio Ziviani
Federal University of Minas Gerais, Brazil
,
Program Chairs:
Gary Marchionini
University of North Carolina, USA
,
Alistair Moffat
University of Melbourne, Australia
,
John Tait
University of Sunderland, UK

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 August 2005

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SIGIR05

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SIGIR

SIGIR05: The 28th ACM/SIGIR International Symposium on Information Retrieval 2005

August 15 - 19, 2005

Salvador, Brazil

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Index Terms

Recommendations

Interpretable Mining of Influential Patterns from Sparse Web

Bitwise parallel association rule mining for web page recommendation

Social Network Analysis on Interpretable Compressed Sparse Networks