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ICDM Workshop: Biological Data Mining and its Applications in Healthcare
Australia - Sydney - Sydney

Hosted by: In conjunction with the 10th IEEE International Conference on Data Mining (ICDM 2010)
Venue: University of Technology, Sydney
Dates: Dec 14, 2010 through Dec 14, 2010

Call for Proceedings Presentations: 2010-07-23 through 2010-07-23
 
Description
 
1. Introduction

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

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 graph mining), address privacy issues (e.g. patients medical records), and integrate heterogeneous data sources.

The mission of this workshop is to disseminate the latest research challenges, results, and practice of the data mining approaches in biology and healthcare. We encourage 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 which apply data mining techniques in healthcare related applications, such as disease diagnosis & prognostics, drug targets identification, biological markers detection, bio-image analysis, disease pathway analysis, as well as 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. Call for Papers

We are writing to invite you to submit your papers to the ICDM-2010 workshop on Biological Data Mining and its Applications in Healthcare, which will be held in Sydney Australia on December 14 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.

We look forward to your submissions. In addition, we will greatly appreciate it if you can distribute the Call for Papers to your colleagues, students and other community members and encourage them to contribute to the workshop.

3. 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

4. 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 14, 2010: Workshop date

5. Submissions
Paper submissions are limited to a maximum of 10 pages in the IEEE 2-column format, 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 on the basis of technical quality, relevance to data mining, originality, significance, and clarity. A double blind review process will be adopted. Authors should 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 withEuropean fonts).

All papers should be submitted through the ICDM Workshop Submission Site.

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

6. 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
Jimmy Huang, York University, Canada
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
Chee Keong Kwoh, Nanyang Technological University, Singapore
Hiroshi Mamitsuka, Kyoto University, Japan
George Perry, University of Texas at San Antonio, USA
Mark A. 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
 
Additional Information
 
Event URL: http://www1.i2r.a-star.edu.sg/~xlli/BioDM.html
ISCB Member Discount: None
Contact Person: Xiaoli Li ([javascript protected email address])

While ISCB provides for conference and event listings that may be of interest to members and bioinformaticians at large, ISCB is not responsible for the content provided by outside sources. Such listings are not meant as an endorsement by ISCB.



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