[AISWorld] CFP: PACIS 2014 - Business Intelligence and Big Data Analytics Track (submission date updated)

[Shan, Zhe (shanze)]

Pacific Asia Conference on Information Systems (PACIS) 2014
Business Intelligence and Big Data Analytics Track
Chengdu, China, June 24-28, 2014
http://pacis2014.org/track_bi.php

Track Co-Chairs:
Roger H.L. Chiang, University of Cincinnati, USA, roger.chiang at uc.edu
Shu Schiller, Wright State University, USA, shu.schiller at wright.edu
Zhe (Jay) Shan, University of Cincinnati, USA, zhe.shan at uc.edu
Harry Jiannan Wang, University of Delaware, USA, hjwang at udel.edu

Track Description:
Business intelligence (BI) technologies have gained increasing attention in recent years, which provide historical, current, and predictive views of business operations based on advanced data collection, extraction, and analysis of large
data sets to improve business decision making. In recent decade, Web 2.0 has created an abundance of user-generated contents from online social media such as forums, online groups, web blogs, social networking sites, social multimedia
sites, and even virtual worlds. It has begun to usher in a new and exciting era of Business Intelligence research.  More recently "Big Data" and "Big Data Analytics" have been used to describe the data sets and analytical techniques in
applications that are so large (from terabytes to exabytes) and complex (from sensor to social media data) that they require advanced and unique data storage, management, analysis, and visualization technologies.  Advanced information
extraction, topic identification, opinion mining, and time-series analysis techniques can be applied to traditional business information and new BI contents for various accounting, finance, and marketing applications, such as enterprise
risk assessment and management, credit rating and analysis, corporate event analysis, stock and portfolio performance prediction, viral marketing analysis, etc. By designing and evaluating IT artifacts within the organizational and
managerial context, much can be learned about BI technologies, practices, and challenges. In this track, we are interested in innovative technologies, methodologies, and theories in business intelligence and big data analytics, which are
not limited to a design science approach, but include rigorous and relevant research using management science methodologies (analytical modeling and simulation).

Topics of interest include but not limited to:
E-Commerce and Market Intelligence
*             Recommender systems
*             Social media analytics
*             Opinion mining and sentiment analysis
*             Crowd-sourcing systems
*             Social and virtual games
*             Web mining and analytics for Web 2.0
*             Big data analytics in business applications

Smart Enterprise Systems
*             Innovative data warehousing, ETL, and OLAP in BI
*             Visual interface and HCI for BI
*             Data and text mining for emerging BI applications
*             Business process mining and intelligence

E-Government and Politics 2.0
*             Ubiquitous government services
*             Equal access and public services
*             Citizen engagement and participation
*             Political campaign and e-polling

Smart Health and Wellbeing
*             Human and plant genomics
*             Healthcare decision support
*             Patient community analysis

Security and Public Safety
*             Crime analysis
*             Computational criminology
*             Terrorism informatics
*             Open-source intelligence
*             Cyber security

Financial Services Analytics and Intelligence
*             Intelligent financial process risk monitoring and management
*             Agent-based modeling and analysis for financial applications
*             Business intelligence applications for finance
*             Financial network modeling and analysis
*             Data-mining for financial applications
*             Knowledge management for financial organizations

PACIS2014 Submission Website: http://pacis2014.org/initial.php

Paper submission deadline: March 3rd, 2014
Acceptance notification: April 20th, 2014
Final version due: May 1st, 2014
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