Accepted Papers

• 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.