New Methodologies and Case Studies for Data Mining
Date: 02 Aug 2011 - 02 Aug 2011
Venue: SIMTech Training Room 1, Tower Block
Data mining is the growing field of computer science that aims at discovering the hidden patterns and coming up with actionable insights. The overwhelming majority of data mining literature focuses on developing more efficient and effective computational algorithms. However, the main goal and motivation of the field of data mining, the quest for practical actionable knowledge, seems to be forgotten in most of these algorithmic studies. This lecture will present three new methodologies in data mining that enable the meaningful interpretation of data mining results, and the discovery of new types of actionable insights. Association graphs, re-mining, and colored association graphs will be introduced together with their case study applications in the domain of a product analytic.
10.00am Technology Lecture by Dr Gürdal Ertek
11.00am Q&A Session
11.15am Refreshments and Networking
11.45am End of Seminar
About the Speaker
Dr Gürdal Ertek is an Assistant Professor at Sabanci University, Istanbul, Turkey and obtained Ph.D. from School of Industrial and Systems Engineering at Georgia Institute of Technology, Atlanta, GA, in 2001. His research areas include warehousing and material handling within industrial engineering, data visualisation and mining.
Who Should Attend
Business analysts, programme managers, operations management engineers, researchers, academic staff and students.
This is a non-chargeable lecture. Seats are available on a first-come, first-served basis. To reserve a place, please register online.
For technical enquiries, please contact Dr Allan Zhang Nengsheng, Scientist, Email: nzhang@SIMTech.a-star.edu.sg
For general enquiries, please contact Alice Koh, Email: firstname.lastname@example.org