BI2011 Call for Papers

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The International Workshop on Behavior Informatics (BI2011)
URL: http://datamining.it.uts.edu.au/bi/bi2011/,
Submission System: http://www.easychair.org/conferences/?conf=bi2011

Held in conjunction with
The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2011)
URL: http://pakdd2011.pakdd.org/
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Important Dates
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Paper Submission Deadline: 10 December, 2010 (Friday)
Author Notification: 21 January, 2011 (Friday)
Camera-Ready Deadline: 18 February, 2011 (Friday)

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Workshop Scope
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Deep and quantitative behavior analysis such as in social network cannot be supported by traditional methodologies and techniques in behavioral sciences. This leads to the emergence of inter-disciplinary Behavior Representation, Modeling, Analysis and Management (namely Behavior Informatics). The International Workshop on Behavior Informatics (BI2011) provides an international forum for researchers and industry practitioners to share their ideas, original research results, as well as potential challenges and prospects encountered in Behavior Informatics.

The BI2011 workshop welcomes theoretical work and applied disseminations on the categories which will include but are not limited to the following:

Behavior modeling: formalizing behaviors, relationships, impact and networks.

Impact-oriented behavior mining: behaviors associated with high impacts are of particular importance, while impact-oriented behaviors are often sparse, rare and imbalanced isolated in business and data; identify impact-oriented behavior patterns involves different pattern types and computational challenges.

Analysis of behavior social networks handling challenging issues such as convergence and divergence of behavior, and the evolution and emergence of hidden groups and communities.
Extracting discriminative behavior patterns from high-dimensional, high-frequency, high-density, and huge amount of data.

Large intra-class variance between behaviors: Due to the highly overlapped nature of behavior data, it is extremely difficult to build a robust behavior model which is tolerant for one behavior category while differentiate amongst other categories.

Behavior data processing from transactional space to behavior feature space: Customer demographic and transactional data is generally privacy-oriented, distributed and not organized in terms of behavior but entity relationships. In such transactional entity spaces, behavioral elements are dispersed and hidden within complex business applications with weak or no direct linkages. As a result, current behavior analysis which focuses on exterior features in demographic and service usage data cannot effectively and explicitly scrutinize human behavior patterns and impacts on businesses. To support genuine behavior analysis on behavior interior, a challenging task is to extract and transform transactional behavior-related elements into explicit behavior features.

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Paper Submissions
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Papers accepted by BI2011 will be published in the PAKDD2011 workshop proceedings in LNCS.

Each paper should consist of a cover page with title, authors' names, postal and email address, an up to 200-words abstract, up to 5 keywords and a body not longer than 12 single-spaced pages with font size at least 10pts.

Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines for manuscript formatting. All papers must be submitted electronically in PDF format only, using the conference management tool.

Papers should be submitted through the following paper submission system: http://www.easychair.org/conferences/?conf=bi2011

Submitting a paper to the workshop means that if the paper is accepted, at least one author should attend the workshop to present the paper.

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Post-Workshop Publication
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A special Issue on Behavior Computing with Knowledge and Information Systems: An International Journal (to be confirmed).

An edited book on Behavior Computing to be published by Springer in 2011.

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Organization Committee
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General Co-Chair
Philip S Yu, University of Illinois at Chicago, USA

Co-Chairs:
Longbing Cao, University of Technology Sydney, Australia
Jaideep Srivastava, University of Minnesota, USA
Graham Williams, Australian Taxation Office, Australia
Hiroshi Motoda, Osaka University and AFOSR/AOARD, Japan

Organizing Chair:
Gang Li, Deakin University, Australia

Supported by
Behavior Informatics - Special Interest Group (BI-SIG), http://www.behaviorinformatics.org/