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    BIOKDD 2011 - International Workshop on Data Mining Applications in Sustainability

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    Website www.kdd.org/kdd2011 | Want to Edit it Edit Freely

    Category BIOKDD 2011

    Deadline: May 07, 2011 | Date: August 21, 2011-August 24, 2011

    Venue/Country: San Diego, U.S.A

    Updated: 2011-03-25 09:22:02 (GMT+9)

    Call For Papers - CFP

    In recent years, climate change, depletion of natural resources, and rising energy costs have led to an increased emphasis on sustainability. A widely accepted definition of sustainability, attributed to the Brundtland Commission of the United Nations, states that sustainable development is that which meets the needs of the present without compromising the ability of future generations to meet their own needs. In practice, a common heuristic for making technological systems environmentally sustainable is to make them eco-efficient, i.e., build using the least amount of the most appropriate materials and consuming the least amount of the most appropriate sources of energy throughout their lifetime. Sustainability is a difficult goal to achieve, because the systems under consideration comprise complex, inter-connected entities about whom first principles modeling is intractable. Therefore data-driven methods hold significant promise.

    The goals of this KDD workshop are to:

    to bring together researchers working on applications of KDD to sustainability in diverse areas, especially in infrastructures such as IT, Smart Grids, water, and transportation. This will facilitate cross-disciplinary collaboration and cross pollination of ideas across domains.

    to familiarize the mainstream KDD community with diverse application areas within sustainability.

    to serve as a meeting ground and launchpad to galvanize and foster the development of this budding subcommunity.

    Topics of interest can be organized into both "horizontals" and "verticals". Vertical domain areas include:

    Information Technology (IT)

    Transportation

    Power Grid/Smart Grid

    Water Infrastructure

    Waste Management

    Building Energy Management

    Horizontal aspects include but not limited to:

    Anomaly detection

    Causal diagnosis

    Data fusion

    Process modeling

    Relationship discovery

    Mining massive throughput sensor streams

    Organizing/Program Committee:

    Naren Ramakrishnan, Virginia Tech (co-chair)

    Manish Marwah, HP Labs (co-chair)

    Amip Shah, HP Labs

    Jiawei Han, UIUC

    Carla Gomes, Cornell

    Hamsa Balakrishnan, MIT

    Hillol Kargupta, UMBC

    Katharina Morik, TU Dortmund

    Vipin Kumar, University of Minnesota

    Ratnesh Sharma, NEC Labs

    Andreas Krause, Caltech

    Mario Berges, CMU

    Karsten Schwan, Georgia Tech

    Martin Arlitt, HP Labs


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