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Text mining: applied for bomb blast detection

Published: 26 February 2010 Publication History

Abstract

Text Mining is the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources. A key element is the linking together of the extracted information together to form new facts or new hypotheses to be explored further by more conventional means of experimentation.

References

[1]
H. Mahgoub,"Mining association rules from unstructured documents" in Proc. 3rd Int. Conf. on Knowledge Mining, ICKM, Prague, Czech Republic, Aug. 25--27, 2006, pp. 167--172
[2]
Hany Mahgoub, Dietmar Rösner, Nabil Ismail and Fawzy Torkey, "A Text Mining Technique Using Association Rules Extraction"Journal of Computational Intelligence 4; www.waset.org Winter 2008.
[3]
K. Norvag, T. Eriksen, and K. Skgstad, "Mining association rules in temporal document collections,"
[4]
P. Srinivasan. Meshmap: A text-mining tool for medline. In Proceedings of the American Medical Informatics Annual Symposium, pages {642, 646,} 2001.
[5]
http://www.jisc.ac.uk/publications/documents/pub_textmining.aspx

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    ICWET '10: Proceedings of the International Conference and Workshop on Emerging Trends in Technology
    February 2010
    1070 pages
    ISBN:9781605588124
    DOI:10.1145/1741906
    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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    • UNITECH: Unitech Engineers, India
    • AICTE: All India Council for Technical Education

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    New York, NY, United States

    Publication History

    Published: 26 February 2010

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    Author Tags

    1. information retrieval
    2. knowledge discovery
    3. text mining

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