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Workshop Program    Top

Workshop Schedule at a Glance

August 24, 2014

08:30-08:40

Opening speech and Best Paper Award Ceremony.

08:40-09:40

Keynote speech by Prof. Hui Xiong.

09:40-10:00

Short-paper spotlight (3 min for each paper)

  • Contextual Feature Analysis to Improve Link Prediction for Location Based Social Networks
    Ahmet Engin Bayrak and Faruk Polat
  • Building Socially Connected Skilled Teams to Accomplish Complex Tasks
    Ana Paula Appel, Victor Cavalcante, Marcos Vieira, Vagner Santana, Rogerio Paula and Steven Tsukamoto
  • A Multiresolution Approach to Recommender Systems
    Gilbert Badaro, Hazem Hajj, Ali Haddad, Wassim El Hajj and Khaled Bashir Shaban
  • Inferring User Social Class in Online Social Networks
    Renato Miranda Filho, Guilherme Borges, Jussara Almeida and Gisele Pappa
  • Predicting Quitting on Yammer: An Online Social Enterprise Space
    Gaurang Gavai, Sricharan Kumar, Julia Liu, Oliver Brdiczka and John Hanley
  • Preference Ontologies based on Social Media for compensating the Cold Start Problem
    Christopher Krauss, Sascha Braun and Stefan Arbanowski
  • Exploiting the Stock Market with Social Activity Modeling
    Ruoqian Liu, Ankit Agrawal, Wei-Keng Liao and Alok Choudhary

  • 10:00-10:30

    Coffee break. Poster session (both short and full papers)

    10:30-12:30

    Full paper presentation (20 min for each paper)

  • Harnessing Mobile Phone Social Network Topology to Infer Users Demographic Attributes
    Jorge Brea, Javier Burroni, Martin Minnoni and Carlos Sarraute
  • Fast In-Memory Triangle Listing for Large Real-World Graphs
    Martin Sevenich, Sungpack Hong, Adam Welc and Hassan Chafi
  • Assortativity in Chung Lu Random Graph Models
    Stephen Mussmann, John Moore, Joseph Pfeiffer and Jennifer Neville
  • Utilizing Purchase Intervals in Latent Clusters for Product Recommendation
    Gang Zhao, Mong Li Lee and Wynne Hsu Wynne Hsu
  • Which Tweets Will Be Headlines? A Hierarchical Bayesian Model for Bridging Social Media and Traditional Media
    Dan Zhang, Yan Liu and Luo Si
  • Understanding Cross-site Linking in Online Social Networks
    Yang Chen, Chenfan Zhuang, Qiang Cao and Pan Hui

  • Keynotes    Top

    TITLE: Big Data Analytics in Business Environments

    SPEAKER: Professor Hui Xiong
    Email: hxiong@rutgers.edu
    Rutgers, the State University of New Jersey
    WEB: http://datamining.rutgers.edu

    ABSTRACT: Recent years have witnessed the big data movement throughout all the business sectors. As a result, awareness of the importance of data mining for business is becoming wide spread. However, the big data are usually immense, fine-grained, diversified, dynamic, and sufficiently information-rich in nature, and thus demand a radical change in the philosophy of data analytics. In this talk, we introduce a set of scenarios for understanding and mining of business data in various business sectors. In particular, we will discuss the technical and domain challenges of big data analytics in business environments. The theme to be covered will include (1) the data mining problem formulation in different business applications; (2) the challenging issues of data pre-processing and post-processing in business analytics; (3) how the underlying computational models can be adapted for managing the uncertainties in relation to big data process in a huge nebulous business environment. Finally, we will also show some promising research directions.

    BIO: Dr. Hui Xiong is currently a Full Professor and the Director of Rutgers Center for Information Assurance at Rutgers, the State University of New Jersey, where he received†a two-year early promotion/tenure (2009),†the Rutgers University† Board of Trustees Research Fellowship for Scholarly Excellence (2009), and the ICDM-2011 Best Research Paper Award (2011). Dr. Xiong received his Ph.D. in Computer Science from the University of Minnesota (UMN), USA, in 2005, the B.E. degree in Automation from the University of Science and Technology of China (USTC), China, and the M.S. degree in Computer Science from the National University of Singapore (NUS), Singapore. His general area of research is data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for emerging data intensive applications. He has published prolifically in refereed journals and conference proceedings (3 books, 50+ journal papers, and 70+ conference papers). He is the co-Editor-in-Chief of Encyclopedia of GIS by Springer, and an Associate Editor of IEEE Transactions on Knowledge and Data Engineering (TKDE) as well as the Knowledge and Information Systems (KAIS) journal. He has served regularly on the organization and program committees of numerous conferences, including as a Program Co-Chair of the Industrial and Government Track for the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), a Program Co-Chair for the IEEE 2013 International Conference on Data Mining (ICDM-2013), and a General Co-Chair for the IEEE 2015 International Conference on Data Mining (ICDM-2015).