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Call for Papers for ICDM-2010 Workshop on Biological DataMining and its Applications in Healthcare PDF Print E-mail
Written by Virginia Gonzalez   
Wednesday, 26 May 2010 12:14

We are writing to invite you to submit your papers to the ICDM 2010 (http://datamining.it.uts.edu.au/icdm10/) workshop on "Biological Data
Mining and its Applications in Healthcare" (http://www1.i2r.a-star.edu.sg/~xlli/BioDM.html), which will be held in Sydney Australia on December 13 2010. ICDM, the IEEE International Conference on Data Mining, is one of the premier conferences in the field of Data Mining.

By co-locating with ICDM 2010, we hope the workshop will bring better awareness of interesting and challenging biological and medical problems
that inspire new data mining solutions, and attract the participation of researchers in the areas of data mining and machine learning who are
interested in the real-world applications of data mining in computational biology and healthcare.

1. Introduction

Scientists in biology and healthcare are facing a growing flood of biological and clinical data that they need to digest in their research.
However, their ability to generate large amounts of biological and clinical data may soon surpass their capacity to analyze and make sense
of the data generated in a timely fashion.  As scientists begin to translate their genomic research from bench to bedside, meaningful
observations and discoveries will have to be drawn from diverse data such as DNA microarrays, protein sequences, protein-protein
interactions, biological pathways, bio-images, electronic medical records, and biomedical literature.


Data mining is well positioned to help the biologists and clinicians draw meaningful observations and discoveries from the vast array of
biomedical data that are now available for analysis. However, there are challenges to be addressed. For example, the algorithms need to be able
to handle a high level of noise and incompleteness in the data (e.g. protein interactions have high false positive and false negative rates),
process computationally intensive tasks effectively (e.g. large scale interaction graph mining), address privacy issues (e.g. patients medical
records), and integrate multiple heterogeneous data sources.

The mission of this workshop is to disseminate the latest research challenges, results, and practice of novel data mining approaches in
biology and healthcare. We seek submissions of cross-disciplinary research works using data mining and machine learning techniques (data
cleansing, data integration, data selection, data transformation, knowledge representation, association mining, clustering, classification, semi-supervised learning, regression, graph mining, text mining, outlier detections, and visualization) to address the challenging issues in biological and clinical data analysis. In addition to bioinformatics applications for computational biology problems, we also seek submissions that describe applications of data mining techniques in healthcare (e.g. disease diagnosis & prognostics, drug targets identification, biological markers detection, bio-image analysis, disease pathway analysis, and medical data mining). We especially welcome submissions that highlight new data mining problems and algorithms that are inspired by the emerging trend of translational research in post-genome computational biology and healthcare.

2. The topics of interest

The topics of interest include (but are not limited to) the following:


- Biological and clinical data cleansing, integration and management
- Computational evolutionary biology and comparative genomics
- Genomic, transcriptomic and proteomic data mining
- Biological network mining, pathway discovery and simulation
- Disease gene prediction and bio-marker detection
- Computational drug discovery
- Semantic web and ontologies for biomedical applications
- Bio- and medical text mining
- Bio- and medical image mining
- Machine learning and statistics in healthcare
- Privacy-preserving medical data mining

3. Important Dates

July 23, 2010:          Due date for paper submission
September 20, 2010:     Notification of paper acceptance
October 11, 2010:       Camera-ready versions of accepted papers
December 13, 2010:      Workshop

4. Submissions

Paper submissions are limited to a maximum of 10 pages in the IEEE2-column format, which is the same as the camera-ready format (see the
IEEE Computer Society Press Proceedings Author Guidelines). All papers will be reviewed by the Program Committee based on technical quality,
relevance to data mining, originality, significance, and clarity. A double blind reviewing process will be adopted. Authors should therefore
avoid using identifying information in the text of the paper. You are strongly encouraged to print and double check your PDF file before its
submission, especially if your paper contains Asian/European language symbols (such as Chinese/Korean characters or English letters with
European fonts).
All papers should be submitted through the ICDM Workshop Submission Site (http://wi-lab.com/cyberchair/icdm10/scripts/ws_submit.php) by click the
link "Biological Data Mining and its Applications in Healthcare".

Selected papers will be invited to submit journal versions to the International Journal of Knowledge Discovery in Bioinformatics.

5. PC members

Zhang Aidong, State University of New York at Buffalo (UB), USA Tatsuya
Akutsu, Kyoto University, Japan Jonathan Arthur, The University of
Sydney, Australia Vladimir Bajic, King Abdullah University of Science
and Technology, Saudi Arabia Christopher Baker, University of New
Brunswick, Canada Jin Chen, Michigan State University, USA James Cimino,
National Library of Medicine, USA Phoebe Chen, La Trobe University,
Australia Honnian Chua, Harvard University, USA Juan Cui, University of
Georgia, USA Yang Dai, University of Illinois at Chicago, USA Xiaoxu
Han, Eastern Michigan University, USA David Hansen, Australian e-Health
Research Centre, Australia Wen-Lian Hsu, Academia Sinica, Taiwan Raphael
Isokpehi, Jackson State University, USA Haiquan Li, University of
Chicago, USA Ming Li, University of Waterloo, Canada Asif Javed, IBM
Thomas J. Watson Research Center, USA Igor Jurisica, University of
Toronto, Canada Maricel Kann, University of Maryland, Baltimore County,
USA Daisuke Kihara, Purdue University, USA Shonali Krishnaswamy, Monash
University, Australia Hiroshi Mamitsuka, Kyoto University, Japan George
Perry, University of Texas at San Antonio, USA Mark Ragan, The
University of Queensland, Australia Sean Mooney, Indiana University, USA
Raul Rabadan, Columbia University, USA Jianhua Ruan, University of Texas
at San Antonio, USA Indra Neil Sarkar, University of Vermont, USA Ambuj
K Singh, University of California at Santa Barbara, USA Narayanaswamy
Srinivasan, Indian Institute of Science, India Alfonso Valencia, Spanish
National Cancer Research Centre, Spain Jason T.L. Wang, New Jersey
Institute of Technology, USA Philip S. Yu, University of Illinois at
Chicago, USA