Asian Journal of Information Technology

Year: 2014
Volume: 13
Issue: 2
Page No. 93 - 98

A New Text Mining Approach in Search Technology

Authors : B. SunilSrinivas, P.N. Santosh Kumar, A. Govardhan and C. Sunil Kumar

References

Allan, J., 2002. Topic Detection and Tracking: Event-based Information Organization. Kluwer Academic Publishers, Kluwer Academic Publishers,.

Andrews, W., 2008. Magic quadrant for information access technology. Gartner Research Report, ID Number: G00161178. Gartner, Inc., September 30, 2008.

Baron, J.R., 2005. Toward a federal benchmarking standard for evaluating information retrieval products used in e-discovery. Sedona Conf. J., 6: 237-246.

Berry, M.W. and M. Castellanos, 2006. Survey of Text Mining II: Clustering, Classification and Retrieval. Springer-Verlag, Berlin, Germany.

Berry, M.W., 2004. Survey of Text Mining: Clustering, Classification and Retrieval. Springer-Verlag, Berlin, Germany.

Bilisoly, R., 2008. Practical Text Mining with Perl (Wiley Series on Methods and Applications in Data Mining). John Wiley and Sons, London, UK.

Blair, D.C. and M.E. Maron, 1985. An evaluation of retrieval effectiveness for a full-text document-retrieval system. Commun. ACM, 28: 289-299.
CrossRef  |  

Card, S.K. J.D. Mackinlay and B. Shneiderman, 1999. Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann Publishers, San Francisco, CA., USA.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved