Research Article
Text Mining in Bovine Diseases
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 6 - Issue 10 |
| Published: September 2010 |
| Authors: R.Santhanalakshmi, Dr.K.Alagarsami |
10.5120/1110-1454
|
R.Santhanalakshmi, Dr.K.Alagarsami . Text Mining in Bovine Diseases. International Journal of Computer Applications. 6, 10 (September 2010), 16-20. DOI=10.5120/1110-1454
@article{ 10.5120/1110-1454,
author = { R.Santhanalakshmi,Dr.K.Alagarsami },
title = { Text Mining in Bovine Diseases },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 6 },
number = { 10 },
pages = { 16-20 },
doi = { 10.5120/1110-1454 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A R.Santhanalakshmi
%A Dr.K.Alagarsami
%T Text Mining in Bovine Diseases%T
%J International Journal of Computer Applications
%V 6
%N 10
%P 16-20
%R 10.5120/1110-1454
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Bovine diseases are the common infection occurs in cattle sector, which comes in varieties of forms. Getting the information about these diseases is tedious process. To get the information and optimize the query result of the user, we used Information Extraction in Text Mining. Text mining is the process of analyzing unstructured, natural language texts in order to discover information and knowledge that are difficult to retrieve directly. Information extraction is one of the most important techniques used in text mining, which the process of scanning text for information relevant to some interest, including extracting entities, relations, and events.
References
- Jung-Hsien Chiang,IEEE member and Hsu-Chun YU“Literature extraction of protein functions using sentence pattern mining “ IEEE Transactions on Knowledge and Data Engineering, vol 17, no 8, August 2005.
- Ananiadou, Sophia, Goran Nenadic, Dietrich Schuhmann, and Irena Spasic, 2002. Term-Based Literature Mining from Biomedical Texts", in Proceedings, Intelligent Systems for Molecular Biology, ISMB, Text Data Mining SIG, Edmondton, Canada.
- D. M. Bikel, R. Schwartz, and R. M. Weischedel. An algorithm that learns what’s in a name. Machine Learning, 34:211–232, 1999.
- PubMedCentralOpenAccessInitiative,http://www.pubmedcentral.nih.gov/a bout/openftplist.html
- PubMed, http://www.ncbi.nlm.nih.gov/PubMed/, 2004
Index Terms
Keywords