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.
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