报告题目：大数据挖掘云服务平台及应用Mass data mining based on cloud computing
报 告 人：何清
报告时间：2018年12月7日09:30
地 点：理工楼504
报告摘要：
海量数据不断增长，多样化个性化的数据挖掘需求强劲，传统的集中式数据挖掘方式已不适应。如何基于云计算进行大数据挖掘，并提供高效、可信的数据挖掘服务成为挑战性问题。内容包括：
n行业数据挖掘需求
n大数据挖掘云服务平台
nWeb大数据挖掘平台
n行业典型应用案例
n技术趋势与展望
Together with the explosion amount of data, strong demand of diverse as well as personalized data mining,
the traditional centralized data mining is no longer suitable. How to execute mass data mining based on
cloud computing, and how to provide a high efficiency and high reliable data mining service has become a
challenging problem. This talk includes: the practice of data mining based on cloud computing in China; the
advantage of data mining based on cloud computing; the challenge problem and future development direction of
data mining based on cloud computing.
报告人简介The introduction of the speaker：
何清，中国科学院计算技术研究所研究员博士生导师。2008年底，何清带领他的中科院计算所数据挖掘团队，受中国移动研究院委托，合作开发完成了基于云计算的并行数据挖掘平台，用于TB级实际数据的挖掘。实现了高性能、低成本的数据挖掘，通过这次创新，使我国获得了自主知识产权的基于云计算的数据挖掘技术，这是基于云计算的数据挖掘在中国最早的实践。何清先后主持完成多个有关数据挖掘的国家自然科学基金项目和863项目，提出了一系列有效的数据挖掘算法，组织开发的多个数据挖掘软件获得了软件著作权，并实际应用到通信、电力、安全、环保、保险等多个行业的数十家企业，为企业带来了可观的经济效益和社会效益。2015年获得吴文俊人工智能科学技术奖。
Qing He, the professor and PhD supervisor of Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences. At the end of 2008, commissioned by the Research Institution of China Mobile, Professor He led his team, Data Mining and Machine Learning Research Group, to cooperatively complete parallel data mining platform based on cloud computing. The system is used for mining data from real world in TB-level. This innovation achieves a high efficiency low cost data mining, which makes China acquire self-owned intellectual property rights of the technique of data mining based on cloud computing. Meanwhile, that practice is also the pioneer of data mining based on cloud computing in China.
Professor He as project director has completed several programs supported by the National Natural Science Fund of China and China’s National “863” programme successively, and He as well as his team has proposed a series of effective algorithms on data mining. The software programs about data mining that professor He organized have already acquired software copyrights, which are widely applied to dozens of companies across various industries, bringing considerable economic and social benefits.