[Molvis-list] CFP: 2nd IEEE International Workshop on Data Mining in Bioinformatics (DMB 2007)

Amandeep S. Sidhu asidhu at biomap.org
Wed May 16 10:02:03 EDT 2007

2nd International Workshop on Data Mining in Bioinformatics (DMB 2007) 


Data Mining deals with the use of data analysis techniques and methodologies in
the design, development and assessment of data and information systems for
biomedical computing. The goal of this workshop is to share research solutions
using data mining approaches to problems of today's biomedical systems and to
identify new issues and directions for future research in biomedical data mining. 
Techniques and Methodologies proposed in this workshop will help addressing two
major challenges to incorporate this vast biological knowledge into the data
mining cycle: (i) designing efficient the data mining frameworks; and (ii)
adapting existing data mining algorithms to understand constantly varying and
changing biomedical data. In this workshop we hope to present to the audience,
the state-of-the-art frameworks for bringing the background biomedical knowledge
into the pattern recognition task for biomedical data.

In DMB 2007, complementary to main themes of IEEE BIBM 2007, special focus is
aimed at looking on the evolving areas of interest for Application of Data
Mining in Bioinformatics, namely Semantic Biomedicine, Biomedical Privacy and
Security, Biometrics and Health Informatics. Thus as part of DMB 2007, there are
four special tracks on:

1. Biomedical Data Mining: Theory and Applications
2. Semantics in Biomedicine
3. Biomedical Privacy, Security and Biometric Authentication
4. Health Informatics


August 10, 2007		Paper Submission Deadline
September 10, 2007	Notification of acceptance
September 17, 2007	Final camera-ready paper due
November 2 - 5, 2007	Workshop Days

Authors are invited to submit original papers to the workshop exploring data
mining theories, techniques, and applications for Bioinformatics. Papers are
invited (but not limited) to the following topics:

• Biomedical Data Mining Theory and Applications
  o Genomics and Proteomics
  o Comparative Genomics
  o Microarray Data Analysis
  o Protein/RNA Structure Prediction
  o Phylogenetics
  o Drug Design
  o Feature selection and pattern discovery in biological data
  o Biomedical Literature Mining
  o System Biology and Pathways
  o Data mining applications in bioinformatics, biomedicine, health care and
other biomedical domain areas

• Semantics in Biomedicine
  o Conceptual Models for Biological and Medical Data
  o Modeling of Biochemical Pathways
  o Biological Data Visualization
  o Biomedical Ontologies
  o Biomedical Data Engineering using Ontologies
  o Biological Database Management
  o Biomedical Data Warehousing
  o Interoperation of Biomedical Databases
  o Biomedical Query Processing, Query Optimization, and Information  Retrieval

• Biomedical Data Privacy and Security
  o Trusted Systems for Biomedical Data Frameworks
  o Secure e-science protocols and web services
  o Soft Computing methods in biomedical privacy and security
  o Management of emerging health care technologies

• Heath Informatics
  o Electronic Health Records
  o Clinical Assessment and Patient Diagnosis
  o Disease Control and Prevention
  o Medical informatics
  o Clinical decision support design, development and implementation
  o e-health and m-health 
  o Virtual health technologies


Please submit a full length paper (not exceeding 5000 words) thorough the online
submission system (http://kis-lab.com/cyberchair/bibm07/scripts/submit.php).
Electronic submissions (in PDF or Postscript format) are required.  Selected
participants will be asked to submit their revised papers in a format to be
specified at the time of acceptance. 

Extended versions of selected papers will be published in a Special Issues  of
International Journal of Data Mining and Bioinformatics (IJDMB) and
International Journal of Computer Systems Science & Engineering (CSSE).

Selected high quality submissions will be published as book chapters in an
edited book entitled: "Annual Review of Biomedical Knowledge Discovery and Data
Mining: Enriching Biomedical Data Mining with Ontologies" in Studies in
Computational Intelligence Series by Springer.

For further questions, please contact technical program chair: dmb07 at swbio.org


General Chairs:

Tharam S. Dillon
Curtin University of Technology, Australia

Elizabeth Chang
Curtin University of Technology, Australia

Program Chairs:

Amandeep S. Sidhu
Curtin University of Technology, Australia

Farookh K. Hussain
Curtin University of Technology, Australia

Steering Committee:

• Alexey Tysmbal (Siemens, Germany)
• Amandeep S. Sidhu (Curtin University of Technology, Perth, Australia)
• Elizabeth Chang (Curtin University of Technology, Perth, Australia)
• Farookh K. Hussain (Curtin University of Technology, Perth, Australia)
• Jake Chen (Indiana University, USA)
• Jason Wang (New Jersey Institute of Technology, USA)
• Mykola Pechenizkiy (Eindhoven University of Technology, Netherlands)
• Mohammed J. Zaki (Rensselaer Polytechnic Institute, USA)
• T. Y. Lin (San Jose State University, USA)
• Tharam S. Dillon (Curtin University of Technology, Perth, Australia)
• Tony Hu (Drexel University, USA)
• Yi Pan (Georgia State University, USA)

Special Track Chairs:

• Biomedical Data Mining – Tony Hu
• Semantics in Biomedicine – Amandeep S. Sidhu
• Biomedical Privacy, Security and Biometric Authentication – Farookh K. Hussain
• Health Informatics  – Maja Hadzic

More information about the Molvis-list mailing list