Venue: China National Convention Center 212A+B.

8:25 to 8:30 Opening Remarks: Wei Fan
8:30 to 9:05 Keynote: Usama Fayyad
Introduction by Qiang Yang
9:05 to 9:40 Keynote: Guirong Xue
Introduction by Wei Fan
9:40 to 10:15 Invited Talk: Vivekanand Gopalkrishnan Deloitte
Introduction by Albert Bifet
10:15 to 10:30 Coffee Break
10:30 to 11:00 Keynote: Bharat Rao
Introduction by Philip Yu
11:00 to 11:30 Invited Talk: Charles Parker BigML
Introduction by Wei Fan
11:30 to 12:00 Poster Highlight: 2 mins for each paper
Chair: Albert Bifet
12:00 to 12:10 PM Best Paper Award.
Chair: Philip Yu
12:10 to 1:00 PM Lunch
1:00 to 2:00 PM Panel
Chair: Wei Fan
Panelists: Bharat Rao (Siemens Healthcare), Vivekanand Gopalkrishnan (Deloitte), Charles Parker (BigML), Ankur Teredesai (University of Washington and nPario), Anjan Goswami (eBay and UC Davis).
2:00 to 2:15 PM Concluding Remarks
2:15 to 2:30 PM Poster Set up
2:30 to 5:00 PM Poster Session and Reception
Poster and Reception Chair: Xiatian Zhang and Xian Wu

  • CluChunk: Clustering Large Scale User-generated Content Incorporating Chunklet Information
    Yu Cheng, Yusheng Xie, Kunpeng Zhang, Ankit Agrawal and Alok Choudhary.
  • Parallel Rough Set based Knowledge Acquisition using MapReduce from Big Data
    Junbo Zhang, Tianrui Li and Yi Pan.
  • Delta-SimRank Computing on MapReduce
    Liangliang Cao, Hyun Duk Kim, Min-Hsuan Tsai, Brian Cho, Zhen Li, Indrani Gupta, Chengxiang Zhai and Thomas Huang.
  • Incrementally Optimized Decision Tree for Noisy Big Data
    Hang Yang and Simon Fong.
  • Compression-Aware I/O Performance Analysis for Big Data Clustering
    Zhenghua Xue, Jianhui Li, Yang Zhang, Geng Shen, Qian Xu and Jing Shao.
  • Space-Efficient Sampling from Social Activity Streams
    Nesreen Ahmed, Jennifer Neville and Ramana Kompella.
  • A parallel graph partitioning algorithm to speed up the large-scale distributed graph mining
    Zengfeng Zeng, Bin Wu and Haoyu Wang.
  • A Density-Based Clustering Structure Mining Algorithm for Data Streams
    Huan Wang, Yanwei Yu, Qin Wang and Yadong Wan.
  • Subscriber classification within telecom networks utilizing big data technologies and machine learning
    Tor Kvernvik and Jonathan Magnusson.
  • Accelerating Minor Allele Frequency Computation with Graphics Processors
    Mian Lu, Jiuxin Zhao, Qiong Luo and Bingqiang Wang.
  • Online Feature Selection for Mining Big Data
    Steven C.H. Hoi, Jialei Wang, Peilin Zhao and Rong Jin.
  • Accelerating Bayesian Network Parameter Learning Using Hadoop and MapReduce
    Aniruddha Basak, Irina Brinster, Xianheng Ma and Ole J. Mengshoel.
  • Stream-Dashboard: A Framework for Mining, Tracking and Validating Clusters in a Data Stream
    Basheer Hawwash and Olfa Nasraoui.
  • A Kernel Fused Perceptron for the Online Classification of Large-Scale Data
    Huijun He, Mingmin Chi and Wenqiang Zhang.