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[交流] BI2012: Call for Papers

会议城市:

Macau

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截稿日期:

July 25, 2012

BI2012: Call for Papers

=========================================================================================

The 2012 International Workshop on Behavior Informatics (BI2012)
URL: https://bi2012.behaviorinformatics.org/,
Submission System: https://wi-lab.com/cyberchair/2012/wiiat12/scripts/ws_submit.php

Held in conjunction with
The 2012 PIEEE/WIC/ACM International Conference on Web Intelligence
The 2012 PIEEE/WIC/ACM International Conference on Intelligent Agent Technology
URL: https://www.fst.umac.mo/wic2012
=========================================================================================

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Important Dates
==========================

Paper Submission Deadline: July 25, 2012
Author Notification: August 05, 2012
Camera-Ready Deadline: August 31, 2012
Workshop: December 4, 2012

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Workshop Scope
==========================

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 2012 International Workshop on Behavior Informatics (BI2012) 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 BI2012 workshop welcomes theoretical work and applied disseminations on the categories which will include but are not limited to the following:

1. Behavior modeling and analysis: formalizing individual and group behaviors, relationships and interactions, actor intention, behavioral impact and behavior networking.

2. Behavior impact learning: behaviors associated with high impacts are of particular importance, while impact-oriented behaviors are often sparse, rare and imbalanced isolated in business and data; identifying impact-oriented behavior patterns or anomales involves different pattern/anomaly types and computational challenges.

3. 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 or group behavior patterns from high-dimensional, high-frequency, high-density, and huge amount of data.

4. Coupled behaviors and behavior interactions: Behaviors of the same actor or different actors are often coupled or interact with each other. Learning such coupled behaviors,  behavior interactions and behavior relations are challenging and essential in behavior analysis. On the other hand, 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.

5. 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.

==========================
Topics of Interest
==========================

• Behavioral data processing • Behavior impact analysis
• Behavior representation • Behavior pattern mining
• Formal methods • Exceptional behavior
• Qualitative methods • Behavior prediction
• Quantitative methods • Behavior relation learning
• Individual behavior dynamics • Behavior network analysis
• Behavior presentation • Group behavior dynamics
• Behavior management • Behavior emergence
• Behavior simulation • Behavior interaction analysis
• Hypothesis-based behavior learning • Data-driven hypothesis extraction
• Divergence/Diffusion mechanisms • Convergence mechanisms
• Subjective (BDI) factors learning • Trust/privacy/utility etc learning
• Group behavior reasoning • Group interaction and formation
• Impact/influence propagation, analysis and reasoning
• Multi-actor interaction and evolution
• Protocol/norm and responsability
• Leader and leadership analysis
• Evaluation and validation • Applications

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Paper Submissions
==========================

Paper submissions should be limited to a maximum of 5 pages in the IEEE 2-column format, and will have a peer review by the Program Committee on the basis of technical quality, relevance to the conference topics, originality, significance, and clarity.

Papers accepted by BI2012 will be published in the Workshop Proceedings published by IEEE Computer Society Press and will be available at the workshops.

Authors are strongly encouraged to use IEEE-CS manuscript submission guidelines for manuscript formatting. https://www.computer.org/portal/web/cscps/formatting

All papers must be submitted electronically in PDF format only, through the following paper submission system:
https://wi-lab.com/cyberchair/2012/wiiat12/scripts/ws_submit.php

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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Organization Committee
==========================

General Chair
Philip S Yu, University of Illinois at Chicago, USA

Program 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
Ee-peng Lim, Singapore Management University, Singapore

Organizing Chair:
Gang Li, Deakin University, Australia

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

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