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    MLB 2012 - Special Session on Machine Learning for Business

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    Category MLB 2012

    Deadline: January 18, 2012 | Date: June 10, 2012-June 15, 2012

    Venue/Country: Brisbane, Australia

    Updated: 2012-01-01 10:43:53 (GMT+9)

    Call For Papers - CFP

    ** Special Session on Machine Learning for Business

    part of IJCNN:

    2012 IEEE World Congress on Computational Intelligence

    Brisbane, Australia

    June 10-15, 2012

    * MORE INFORMATION

    http://www.icmc.usp.br/~mlb-wcci

    * ORGANIZERS

    André Carvalho, University of São Paulo (USP) at São Carlos, Brazil

    Carlos Soares, LIAAD-INESC TEC-Faculdade de Economia, Universidade do

    Porto, Portugal

    Ricardo B. C. Prudêncio, Federal University of Pernambuco (UFPE) at

    Recife, Brazil

    Teresa B. Ludermir, Federal University of Pernambuco (UFPE) at Recife,

    Brazil

    * DESCRIPTION

    Business, government and science organizations are increasingly moving

    towards decision-making processes that are based on information. In

    parallel, the amount of data representing the activities of

    organizations that is stored in databases is also growing. Therefore,

    the pressure to extract as much useful information as possible from

    this data is very strong. Many tools for Data Mining (DM) and Business

    Intelligence (BI) have been developed for that purpose, including

    Neural Networks and other Machine Learning (ML) algorithms. These

    methods are increasingly being integrated into other information

    systems and tools (e.g., customer relationship management, database

    management systems, network security tools). Despite the maturity of

    the field, new problems and applications are continuously challenging

    both researchers and practitioners. The successful development of

    solutions for those problems requires that companies and universities

    work in close contact. Feedback from people with a business-oriented

    perspective is useful to assess current research results and to

    provide researchers with new challenges to work on. On the other hand,

    practitioners as well as decision makers in general need to be in

    touch with state-of-the-art research. Otherwise, they will not be able

    to provide the best solutions to their problems or to the problems of

    their clients. However, contact between these two communities is not

    as frequent as would be desirable. Although neural networks, pattern

    recognition, data mining and machine learning conferences provide an

    important contribution, they mostly attract an audience with a more

    technical and research background.

    Following the successful organization of similar events together with

    other prestigious conferences (KDD, ECML-PKDD and PAKDD), in 2012 we

    have teamed up with IJCNN. The goal of this special session is to

    bring together practitioners and researchers both from companies,

    government and academia, therefore promoting the exchange of

    experiences, ideas and challenges.

    * OBJECTIVES

    To promote the exchange of ideas between researchers and

    practitioners, from companies, government and universities and coming

    from different areas of expertize, including neural networks, machine

    learning, data mining, pattern recognition, soft computing, fuzzy

    systems and statistics. This is achieved by presenting and discussing:

    -case studies and experience reports of the application of intelligent

    technologies, emphasizing the benefits as well as the lessons learned

    -challenges and innovative applications

    -integration of intelligent technologies with other technologies and

    business processes

    * TOPICS OF INTEREST

    We are interested in presentations concerning applications, techniques

    and products. We are interested in applications from (but not

    restricted to) the following areas: government, banking and finance,

    insurance, retail, e-business, telecommunications, network security,

    entertainment, automotive industry, health and pharmaceutics.

    We welcome success stories as well as applications which did not

    succeed. In any case the presentations should include lessons learned

    that can be useful in different situations. Submissions comparing

    different tools on applications are also interesting. In the case of

    techniques, we are particularly interested in innovative techniques

    used to address novel problems. Finally, submissions concerning tools

    can describe the integration of computational intelligence

    technologies into Information Systems tools of different kinds,

    especially in the case of tools for vertical applications.

    * SUBMISSION

    Papers should be submitted following the instructions at the WCCI 2012

    web site at: http://www.ieee-wcci2012.org/

    Select the correct special session AND notify the chairs of your

    submission by sending email to dmbizatfep.up.pt.

    * IMPORTANT DATES

    -Paper submission deadline: January 18, 2012

    -Paper acceptance notification: February 20, 2012

    -Final paper submission: April 2, 2012

    -Conference: June 10-15 2012


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