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Academic Report: Big Data Links Big Wisdom

Date:2019-12-11Promulgator:Click:

 

Lecture: Big Data Links Big Wisdom

Speaker: Prof. Xiong Yun

Venue: Room 109, Teaching Building No.4, East Campus

Date: Friday, December 20, 2019

Time: 9:00

Lecturer Introduction

Prof. Xiong Yun is a doctoral supervisor of School of Computer Science and Technology, Fudan University, Deputy Director of Shanghai Key Laboratory of Data Science, member of the CCF Committee on Big Data, and member of the editorial board of Big Data. His research interests include data science, data mining, and big data processing. He has been engaged in data field research for a long time. His research work has been funded by the National Natural Science Foundation of China, the National 863 Program, the National Science and Technology Support Program, and the Shanghai Science and Technology Commission Fund. The research results are internationally authoritative in data fields including TKDE, KDD, AAAI, ICDM, CIKM, etc. He has published more than 80 papers in journals and conferences. He is also a reviewer and conference PC of ACM Computing Surveys, TKDE, TKDD, ICDM, AAAI and other international journals. He proposed a number of new big data mining algorithms, these algorithms have been used in important areas such as Shanghai big data construction -- Shanghai Medical Federation Platform, Shanghai Stock Exchange, Shanghai Traffic Information Center.

Lecture Content

Artificial intelligence and big data are current hot technologies, and they have become the new driving force for reforming traditional industries and starting the intelligent era. Data is a means of production, particularly, artificial intelligence technology can both discover the value of data and need data to train its intelligence. The growth of data has promoted the development of artificial intelligence technology. This report describes the basic concepts and development of artificial intelligence and big data, and explains the relationship between the two through our actual working cases. At the end of the report, we give the block-chain’s willingness to stimulate data openness and allow more data.

All are welcome.

[Translated by Liu Shuai]

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