Citation
Faiiazee, Hadee and Syed Mohamed, Syed Abdul Rahman Al-Haddad and Abdullah, Rusli and Samsudin, Khairulmizam
(2012)
Text mining in bioinformatics: past, present and future.
In: 2012 International Conference on Information Retrieval & Knowledge Management (CAMP'12), 13-15 Mar. 2012, Kuala Lumpur, Malaysia. (pp. 327-330).
Abstract
The peer-reviewed articles and textual data are main source of data in biology. Text mining is solution to extract information from textual data sources that are usually in bulky quantities, messy and disorganized. Dealing with this situation needs to deploy innovative methods and techniques. In this paper, we identify the current heavily used methods for biomedical text mining, their capabilities and developments, some proposed solution and how to evaluate performance. Biomedical specific challenges in text mining context have been studied with respect to proposed answers and then main future trends based on current needs and requirements have been discussed.
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Computer Science and Information Technology Faculty of Engineering |
| DOI Number: | https://doi.org/10.1109/InfRKM.2012.6205000 |
| Publisher: | IEEE |
| Keywords: | Bioinformatics; Text mining; Data mining; Information retrieval |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 10 Jun 2019 03:43 |
| Last Modified: | 10 Jun 2019 03:43 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/InfRKM.2012.6205000 |
| URI: | http://psasir.upm.edu.my/id/eprint/68794 |
| Statistic Details: | View Download Statistic |
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