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    DMLS 2012 - Workshop on Data Mining in Life Sciences DMLS'2012

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    Website www.worldcongressdsa.de | Want to Edit it Edit Freely

    Category DMLS 2012

    Deadline: April 13, 2012 | Date: July 20, 2012

    Venue/Country: Berlin, Germany

    Updated: 2011-11-15 15:38:19 (GMT+9)

    Call For Papers - CFP

    Workshop on Data Mining in Life Sciences DMLS'2012

    July 20, 2012, Berlin/ Germany

    Workshop Chair

    Isabelle Bichindaritz, University of Washington, USA

    Rainer Schmidt, University of Rostock, Germany

    Workshop Committee

    Riccardo Bellazzi, University of Pavia, Italy

    Kung-Ma Chao, National Taiwan University, Taiwan

    Michel Dojat, UM INSERM-UJF U594 , France

    Peter Funk, Malardalen University, Sweden

    Sophia Katrenko University of Amsterdam, the Netherlands

    Xiaoqiu Huang, Iowa state University, USA

    Jingchu Luo, Peking University, China

    Stefania Montani, University of Piemonte Orientale, Italy

    Oleg Okun, Smarttecco, Sweden

    Petra Perner, Institute of Computer Vision and Applied Computer Sciences, Germany

    Frank-Michael Schleif, University Leipzig, Germany

    Rainer Schmidt, Institut fur Medizinische Informatik und Biometrie, Germany

    Malika Smail-Tabbone, LORIA, France

    Paolo Soda, Università Campus Bio-Medico di Roma, Italy

    Herna L. Viktor, University of Ottawa, Canada

    Scope of the Workshop

    Data mining in biology and medicine is a core component of biomedical informatics, and one of the first intensive applications of computer science to this field, whether at the clinic, the laboratory, or the research center. Following a long tradition of data exploration stemming from biostatistical data analysis, todays's biomedical data mining appears more multifaceted with advances in knowledge discovery in databases as well as machine learning approaches.

    The goals of this workshop are to:

    provide a forum for identifying important contributions and opportunities for research on data mining as it applies to biological and/or medical data,

    promote the systematic study of how to apply data mining to biology and medicine, and

    show case applications of data mining in biology and medicine.

    Some of the technical issues addressed, and potential outcomes of the workshop, are to identify preferred types of mining methods, tools, and processes, preferred domains of application, how to connect a data mining model with a problem to solve, challenges specific to applying data mining to biology and medicine, and guidelines to better develop data mining projects in this domain. We welcome all those interested in the problems and promise of data mining in biology or medicine as well as in bioinformatics, Human Genome Project, environmental sciences and agriculture.

    Topics of interest include (but are not limited to):

    With regard to different types of data:

    Discovery of high-level structures, including e.g. association networks

    Text mining from biomedical literatur

    Medical images mining

    Biomedical signals mining

    Temporal and sequential data mining

    Mining heterogeneous data

    Mining data from molecular biology, genomics, proteomics, pylogenetic classification

    With regard to different methodologies and case studies:

    Data mining project development methodology for biomedicine

    Integration of data mining in the clinic

    Ontology-driver data mining in life sciences

    Methodology for mining complex data, e.g. a combination of laboratory test results, images, signals, genomic and proteomic samples

    Data mining for personal disease management

    Utility considerations in DMLS, including e.g. cost-sensitive learning

    We particularly welcome case studies and applications and discussions of the lessons learned from such case studies

    Workshop Format

    In this workshop we intend to bring scientists together and actively identify common research threads, define open problems, and develop collaborative contacts. We aimed at providing an informal atmosphere where participants are encouraged to ask clarifying questions throughout the talks and to participate in longer discussions after each presentation. Since we anticipate varied backgrounds of the participants, we will encourage speakers to present their work from a big-picture perspective and to clearly identify key issues in their research before they dive into technical details.

    A wrap-up round table discussion will summarize the lessons learnt, issues identified, and future directions.

    Submission Requirements

    Papers will be published in the workshop proceedings by IBaI Publishing. PostScript (compressed and uuencoded) or PDF paper submissions should be formatted according to Springer LNCS format, with a maximum of ten pages. Author's instructions along with LaTeX and Word macro files are available on the web at http://www.springer.de/comp/lncs/authors.html .

    Please submit the electronic version of your camera-ready paper through the CMS-system. If you have any problems with the system please do not hesitate to contact infoatdata-mining-forum.de.

    Authors of the selected papers from the workshop will be invited to submit their revised and extended papers to a journal special issue.

    Important Dates

    Submission Deadline: April 13th, 2012

    Notification Date: April 30th, 2012

    Camera-Ready Deadline: May 12th, 2012

    Workshop date: July 20th, 2012


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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