Cited By
View all- Paes Ade Oliveira D(2015)Running Multi-relational Data Mining Processes in the Cloud: A Practical Approach for Social NetworksHigh Performance Computing10.1007/978-3-319-26928-3_1(3-18)Online publication date: 12-Dec-2015
Data mining in bioinformatics: challenges and opportunities
Author: 
Xiaohua HuAuthors Info & Claims
Xiaohua HuAuthors Info & ClaimsPage 1
Abstract
In this talk I will discuss some data mining techniques and methods in the bioinformatics domain, what are the main challenges and what are the opportunities. I will cover some of the issues related to biomedical literature mining, bioinformatics data integration and biological network analysis and simulation. In biomedical literature mining, I will discuss the effective information retrieval and large-scale information extraction from biomedical literatures. I will also share my view of the semantic-based approach for data integration for bioinformatics domain. In the end, I will talk about the various approaches for biological network analysis and simulation.
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- Data mining in bioinformatics: challenges and opportunities
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Information & Contributors
Information
Published In
November 2009
106 pages
ISBN:9781605588032
DOI:10.1145/1651318
- General Chairs:
- Doheon Lee,
- Russ Altman,
- Program Chairs:
- Min Song,
- Jun Huan
Copyright © 2009 Copyright held by author(s).
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Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 06 November 2009
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DTMBIO '09 Paper Acceptance Rate 8 of 18 submissions, 44%;
Overall Acceptance Rate 41 of 247 submissions, 17%
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Cited By
View all- Paes Ade Oliveira D(2015)Running Multi-relational Data Mining Processes in the Cloud: A Practical Approach for Social NetworksHigh Performance Computing10.1007/978-3-319-26928-3_1(3-18)Online publication date: 12-Dec-2015
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