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With the improvement in data mining techniques and the rising popularity of affordable industry-specific data mining applications, making predictive trends and analysis of RFID data, such as those from the Octopus system, to inform business decisions by ordinary hands may soon be possible.
Internationally renowned data mining scholar Professor Jiawei Han is to discuss at the William Mong Distinguished Lecture in Engineering and Computer Science this Friday (June 1) a new RFID data warehouse model. In the lecture entitled "Warehousing and Mining Massive RFID Data Sets", Professor Han, Professor in Computer Science, University of Illinois at Urbana-Champaign, will elaborate on the latest research findings in the field. He will also illustrate a few promising research topics for mining the massive RFID data.
Media representatives are cordially invited to cover the lecture, the details are:
Date : June 1, 2007 (Friday)
Time : 5:00pm – 7:00pm
Venue : Lecture Theatre A, Chow Yei Ching Building, HKU
Medium : English
Biography of Professor Jiawei Han
Prof Han has been working on research into various spectrums of data mining, data warehousing, database systems, RFID data, social network data and biological data, with over 300 journal and conference publications. He has chaired or served in over 100 committees of international conferences and workshops. He is a Fellow of the Association for Computing Machinery (ACM) and has received the 2004 ACM SIGKDD Innovations Award. Established in 1947, ACM is the world's oldest and largest educational and scientific computing society. He was also awarded the 2005 IEEE (Institute of Electrical and Electronics Engineering) Computer Society Technical Achievement Award. His book Data Mining: Concepts and Techniques has been translated into a number of languages since its publishing in 2001, and is now popularly used as a university textbook worldwide.
For media enquiries, please contact Denise Wong, External Relations Office, HKU, at 2859 2600/ E-mail: denise.wong@hku.hk.
Introducing a "New Model for Mining Massive RFID Data" at the William Mong Distinguished Lecture at HKU
30 May 2007
Radio Frequency Identification (RFID) applications are set to play an essential role in logistics and supply chain management systems. In the near future, it is expected that every major retailer will use RFID systems to track the movement of products from suppliers, warehouses, transportation points, store backrooms, to eventually points of sale. The volume of information generated by such systems can be enormous.
With the improvement in data mining techniques and the rising popularity of affordable industry-specific data mining applications, making predictive trends and analysis of RFID data, such as those from the Octopus system, to inform business decisions by ordinary hands may soon be possible.
Internationally renowned data mining scholar Professor Jiawei Han is to discuss at the William Mong Distinguished Lecture in Engineering and Computer Science this Friday (June 1) a new RFID data warehouse model. In the lecture entitled "Warehousing and Mining Massive RFID Data Sets", Professor Han, Professor in Computer Science, University of Illinois at Urbana-Champaign, will elaborate on the latest research findings in the field. He will also illustrate a few promising research topics for mining the massive RFID data.
Media representatives are cordially invited to cover the lecture, the details are:
Date : June 1, 2007 (Friday)
Time : 5:00pm – 7:00pm
Venue : Lecture Theatre A, Chow Yei Ching Building, HKU
Medium : English
Biography of Professor Jiawei Han
Prof Han has been working on research into various spectrums of data mining, data warehousing, database systems, RFID data, social network data and biological data, with over 300 journal and conference publications. He has chaired or served in over 100 committees of international conferences and workshops. He is a Fellow of the Association for Computing Machinery (ACM) and has received the 2004 ACM SIGKDD Innovations Award. Established in 1947, ACM is the world's oldest and largest educational and scientific computing society. He was also awarded the 2005 IEEE (Institute of Electrical and Electronics Engineering) Computer Society Technical Achievement Award. His book Data Mining: Concepts and Techniques has been translated into a number of languages since its publishing in 2001, and is now popularly used as a university textbook worldwide.
For media enquiries, please contact Denise Wong, External Relations Office, HKU, at 2859 2600/ E-mail: denise.wong@hku.hk.
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