IEEE/ACM DSAA BBDA 2016

IEEE/ACM DSAA 2016 - Montreal, Canada

Call for Papers for a Special Session on

Big Behavioral Data Analytics (BBDA 2016)

Aims and Scope

With the rapid proliferation of web applications, such as search engine, e-commerce and social networking service, more and more user behaviors are available online, which opens a new perspective for behavioral data analytics where more focus should be put on various types of interactions on the web. For example, users can build friendships with, send messages to and make phone calls with other users, creating user-user interactions; they can also post messages, buy products and check in restaurants, creating user-item interactions. Developing computational methods to model user behaviors, analyze different behavioral patterns, understand mechanisms underlying behavioral logs and eventually predict the next behaviors or detect strange behaviors is of paramount importance since it would improve applications like web search, recommender system and social networking services and, on the other side, stop frauds, spams and attacks. This presents clear challenges to behavior modeling: user behavior depends on contents, intentions and contexts in complex online environments. Moreover, the online settings bring big challenges to behavioral data analysis since user behavioral data is in web scale, heterogeneous, of multiple dimensions, highly sparse and dynamic.

Topics of Interest

General areas of interest to BBDA 2016 include but are not limited to:

Methods and techniques

• New principles of user behavior formation
• Modeling personal preference and interpersonal influence
• Modeling individual behavior and group behavior
• Modeling temporal behavior and behavioral dynamics
• Modeling check-in behavior and purchasing behavior
• Scalable techniques for large-scale behavioral data analysis
• Efficient techniques for online behavioral processing

Applications of online user behavioral analytics, such as:

• Social networks
• Recommender systems
• E-commerce systems
• Fraud and spam detection
• Suspicious behavior detection
• Search engines

Submission

Please follow the special session papers guidelines, and select the track "Special session" on the submission website.

Highlights

• Conference paper submissions should be limited to a maximum of 10 pages, in the IEEE 2-column format.
• All paper submissions should be prepared for Double Blind reviewing. That is neither the reviewers are revealed nor the author information is disclosed.
• All accepted papers will be published by IEEE and included in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE.
• Top quality papers accepted and presented at the conference will be selected for extension and publication in the special issues of some international journals, including Journal of Data Science and Analytics.

Chairs

Meng Jiang, University of Illinois at Urbana-Champaign, USA
Peng Cui, Tsinghua University, China
Philip S. Yu, University of Illinois at Chicago, USA & Tsinghua University, China
Longbing Cao, University of Technology Sydney, Australia

Program Committee

U Kang, Seoul National University (Korea)
Jiliang Tang, Yahoo! Labs (USA)
Quan Yuan, University of Illinois at Urbana-Champaign (USA)
Evangelos Papalexakis,University of California, Riverside (USA)
Alex Beutel, Carnegie Mellon University (USA)

As Seen On

DSAA 2016 Special Sessions Page