[Computational-biology] [BI2011] The 2nd Call for Papers
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Mon Nov 8 06:56:25 EST 2010
BI2011 Call for Papers
The International Workshop on Behavior Informatics (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
Paper Submission Deadline: 10 December, 2010 (Friday)
Author Notification: 21 January, 2011 (Friday)
Camera-Ready Deadline: 18 February, 2011 (Friday)
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
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
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
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
Papers should be submitted through the following paper submission system:
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.
A special Issue on Behavior Computing with Knowledge and Information
Systems: An International Journal.
An edited book on Behavior Computing to be published by Springer in 2011.
Philip S Yu, University of Illinois at Chicago, USA
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
Gang Li, Deakin University, Australia
Behavior Informatics - Special Interest Group (BI-SIG),
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