Research Article
Performance Assessment using Text Mining
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 1 - Issue 12 |
| Published: February 2010 |
| Authors: Radha Shakarmani, Nikhil Kedar, Naman Khandelwal |
10.5120/271-431
|
Radha Shakarmani, Nikhil Kedar, Naman Khandelwal . Performance Assessment using Text Mining. International Journal of Computer Applications. 1, 12 (February 2010), 1-6. DOI=10.5120/271-431
@article{ 10.5120/271-431,
author = { Radha Shakarmani,Nikhil Kedar,Naman Khandelwal },
title = { Performance Assessment using Text Mining },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 1 },
number = { 12 },
pages = { 1-6 },
doi = { 10.5120/271-431 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A Radha Shakarmani
%A Nikhil Kedar
%A Naman Khandelwal
%T Performance Assessment using Text Mining%T
%J International Journal of Computer Applications
%V 1
%N 12
%P 1-6
%R 10.5120/271-431
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Existing search engines have many remarkable capabilities; but what is not among them is deduction capability—the capability to synthesize an answer to a query from bodies of information which reside in various parts of the World Wide Web. Web Intelligence is an area of research which attempts to provide this capability.
References
- GATE . www.gate.ac.uk. General Architecture for Text Engineering or GATE is a Java software toolkit originally developed at the University of Sheffield since 1995.
- Web Intelligence: kis.maebashi-it.ac.jp/wi01/ www.web-intelligence.com/
- Muslea, I. (Ed.). (2004). Papers from the AAAI-2004 Workshop on Adaptive Text Extraction and Mining (ATEM-2004) Workshop, San Jose, CA. AAAI Press.
- Weiguo Fan, et. al., “Tapping the Power of Text Mining,” Communications of the ACM, 49(9), 2006.
- Tan, A.-H. (1999), “Text Mining: The state of the art and the challenges”, in Proceedings, PAKDD’99 workshop on Knowledge Discovery from Advanced Databases, Beijing, April, 1999.
- Intelligence on the Web: www.fas.org/irp/intelwww.html WIN: home WEB INTELLIGENCE NETWORK, smarter.net/
- J. Srivastava et al., “Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data,” SIGKDD Explorations, vol. 1, no. 2, 2000, pp. 12
- Fayyad, U., Piatetsky-Shapiro, G. & Smyth, P. (1996), “From data mining to knowledge discovery: An overview”, in U. Fayyad et al. (eds.) Advances in Knowledge Discovery and Data Mining, MIT Press, Cambridge, Mass.
- Fayyad, U., Piatetsky-Shapiro, G. & Smyth, P. (1996), “From data mining to knowledge discovery: An overview”, in U. Fayyad et al. (eds.) Advances in Knowledge Discovery and Data Mining, MIT Press, Cambridge, Mass., 1
- IEEE 2000b. IEEE Standard for Modelling and Simulation (M&S) High Level Architecture (HLA) –Federate Interface Specification. IEEE Std 1516.1-2000. IEEE Computer Society, New York, NY.
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