报告题目: Data Science and Analytics: Innovation and Practices
报告时间：5月25日（周三）上午9：30-10：30
报告地点：学科三号楼S410会议室
报告人：Longbing Cao教授
主持人：刘青山 教授
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江苏省大数据分析技术重点实验室
江苏省气象能源利用与控制工程技术研究中心
江苏省大气环境与装备技术协同创新中心
信息与控制学院
2016年5月23日
Abstract:We are in the era of data science and analytics. While data analytics have been explored from different disciplinary perspectives, most existing analytical and learning systems have been built on assuming that data is independent and identically distributed (IID). Very few people pay attention to the potential issues with the corresponding results, which may be incomplete, misleading or incorrect. A foundational issue in data science and analytics is to understand the non-IID nature of data, business and behavior, while limited knowledge is available in the literature. This talk briefly reviews the issues of existing learning systems, followed by the concepts, fundamentals and examples of non-IIDness learning. The second part of the talk presents a summary of enterprise analytics practices of the speaker’s team, involving diversified domains. Personal thoughts of future data science research directions are provided to conclude the talk.
Bio:Longbing Cao is a professor of information technology at the University of Technology Sydney, Australia. As the founding Director of the university’s research institute: Advanced Analytics Institute, he created a few showcases that have been widely recognized, such as the only group mentioned in Australian government papers on big data and in ATO and OECD reports. Motivated by focusing on both high quality research and high impact development, he proposed several concepts with supporting theories and tools, including non-IIDness learning, behaviour informatics, domain driven data mining, and agent mining. He has been leading large analytical project development for many federal and state government units and large business organizations in Australia and China.
He has been working on promoting Data Science research, education and development since I stepped down from CTO and joined academia. In 2007, He established the first Australian lab Data Science and Knowledge Discovery lab at UTS. In 2011, He founded the first Australian group Advanced Analytics Institute at UTS which was the only group mentioned in several government papers. In 2011, He established the first degrees: Master of Analytics (Research) and PhD: Analytics. In 2013, He founded the IEEE Task Force on Data Science and Advanced Analytics (DSAA) and IEEE Task Force on Behavior, Economic and Soci-cultural Computing. In 2014, He established the IEEE Conference on Data Science and Advanced Analytics (IEEE DSAA) and the ACM SIGKDD Australia and New Zealand Chapter. In 2015, He started the International Journal of Data Science and Analytics.
