Call for Workshop Participation [1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications]

[Erheng Zhong]

Dear Colleagues,

The accepted papers and keynotes of the workshop is out on the workshop page.

http://big-data-mining.org/keynotes/

http://big-data-mining.org/accepted-papers/

Look forward to seeing you in Beijing in August!

======================================================================

Big Data Mining

1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine-12)

Conference Dates: August 12-16, 2012
Workshop Date: Aug 12, 2012
Beijing, China

http://www.big-data-mining.org

------------------------------------------
Thanks and best regards,
Erheng Zhong (钟迩桁),

Department of Computer Science and Engineering, HKUST

[Erheng Zhong]

Dear Colleagues,

We would like to invite you to participate in the coming workshop, 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, in Beijing, China on August 12, 2012.

The Web site is http://big-data-mining.org/. 

We have invited three keynote speakers, Usama Fayyad, Bharat Rao and Guirong Xue to present their large-scale data mining solutions on various application fields, including data consulting, health services and cloud computing. Two speakers, Charles Parker and Vivekanand Gopalkrishnan from our sponsors will discuss two exciting topics: Unexpected Challenges in Large Scale Machine Learning and Big Data, Big Business: Bridging the Gap. Please find the details in http://big-data-mining.org/keynotes/.

In addition, 14 excellent papers on different large-scale data mining topics will be presented in the workshop, such as large-scale clustering on unstructured data: data stream and user generated content, distributed graph mining, large-scale on-line learning, novel large-scale computing framework, etc. 

• 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.

We acknowledge our sponsors:

1. BigML (https://bigml.com/)

2. Huawei (http://www.huawei.com/en/)

3. Deloitte (http://www.deloitte.com/view/en_GX/global/index.htm)

We hope you will enjoy this workshop! Look forward to seeing you in Beijing in August!