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Extended deadline: Ubiquitous Data Mining (UDM) - IJCAI 2013 Workshop

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  • Carlos Ferreira
    ** Apologies for cross-posting ** Ubiquitous Data Mining (UDM) Workshop Beijing, China, August 3 - 9, 2013 http://www.liaad.up.pt/udm/ in conjunction with
    Message 1 of 1 , Apr 22, 2013
      ** Apologies for cross-posting **

      Ubiquitous Data Mining (UDM) Workshop
      Beijing, China, August 3 - 9, 2013

      in conjunction with

      IJCAI 2013
      23rd. International Joint Conference on Artificial Intelligence
      Beijing, China, August 3 - 9, 2013

      == Call for Papers ==

      Ubiquitous Data Mining (UDM) uses Data Mining techniques to extract
      useful knowledge from data, namely when its characteristics reflect a
      World in Movement.

      The goal of this workshop is to convene researchers (from both academia
      and industry) who deal with techniques such as: decision rules, decision
      trees, association rules, clustering, filtering, learning classifier
      systems, neural networks, support vector machines, preprocessing,
      postprocessing, feature selection, visualization techniques, etc. for
      UDM of distributed and heterogeneous sources in the form of a continuous
      stream with mobile and/or embedded devices and related themes.

      Authors are invited to submit original papers in all topics related to
      Ubiquitous Data Mining. Selected papers will have to be presented during
      the workshop.

      The workshop will include extra time for audience discussion of the
      presentation allowing the group to have a better understanding of the
      issues, challenges, and ideas being presented.

      Authors of best workshop papers will be invited to submit extended versions
      of their work to Intelligent Data Analysis Journal.

      -- Important Dates --

      Paper submission: 28 April, 2013 ** EXTENDED **
      Author notification: 20 May, 2013
      Camera-ready copy: 30 May, 2013

      -- Topics --

      Topics include but are not restricted to:

      - Adaptive Data Mining
      - Distributed Data Mining
      - Distributed Data Streams
      - Grid Data Mining
      - Learning in Ubiquitous environments
      - Learning from Sensor Networks
      - Learning from Social Networks
      - Visualization Techniques for UDM
      - Incremental On-line Learning Algorithms
      - Single-Pass and Scalable Algorithms
      - Learning in distributed neural network systems;
      - Real-Time and Real-World Applications
      - Resource-aware UDM
      - Theoretical frameworks for UDM

      -- Submission --

      All papers should be submitted in IJCAI 2013 camera ready format for
      publication in the symposium proceedings. The maximum length of papers
      should not exceed 5 pages in the case of research and experience papers,
      and 2 pages in the case of position papers (including figures,
      bibliography and appendices). Submission guidelines must be strictly
      followed. Papers should be submitted in PDF using the EasyChair
      conference system available at


      All workshop participants are required to register for both the workshop
      and the main conference. IJCAI is the premier international gathering of leading AI researchers and practitioners from all over the world. Held biennially in odd-numbered years since 1969, IJCAI highlights the latest theoretical and applied results in all subfields of artificial intelligence.

      -- Workshop Chairs --

      João Gama, Michael May, Nuno Marques, Paulo Cortez

      -- Organizing Chairs --

      Manuel Filipe Santos, Pedro Pereira Rodrigues, Albert Bifet

      -- Publicity Chair --

      Carlos Abreu Ferreira

      Looking forward to meeting you in Beijing!
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