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2018 ATS&E: Introduction to Data Mining

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Location

Kempinski Al Othman Hotel Al Khobar

King Saud Road

Al Khobar, Eastern Province 34232

Saudi Arabia

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Description

Course Description:

REGISTRATION IS CLOSED. DROP-INS WILL BE ADMITTED BASED ON AVAILABILITY.

After completing this course, participants will be able to:

  • Understand the fundamental and new emerging techniques in data mining
  • Apply popular data mining techniques on solving classical problems

Topics include

  • Introduction to data mining process, concepts, daily application examples
  • Classification
  • Clustering
  • Text Mining
  • Recommendation System
  • Social Graph Mining

Who Should Attend

The audience can be senior undergraduate student, graduate students, computer engineers, and others who have good knowledge in Probability and Statistics, Linear Algebra, Matrix operation and know programming

Course Length

1 day

CEUs

Attendee of SPE-KSA training course will be awarded 0.8 CEU (continuing Education Units) for this 1-day course. We provide each attendee a certificate upon completion of the training course

Instructors

Dr. Shangsong Liang is a Research Scientist in KAUST MINE group. Dr. Liang obtained Ph.D. degree from University of Amsterdam, the Netherlands ​​​​​in 2014. He is an expert in data mining and information retrieval, and has conducted great research works, which have been well recognized in data mining community and published as over 10 peer-reviewed papers in top conferences and journal in data mining, including KDD, WWW, AAAI and TKDE.

Mr. Lu Yu is a senior PhD student in KAUST MINE group. Before joining KAUST, he worked as a Data Mining Engineer at Alibaba Group. Lu has expertise in data mining, especially in recommendation systems and social networks. His research work has been published at top conferences and journals including WWW, AAAI, SDM, IEEE big data, Information Sciences etc. His paper at WAIM 2016 was recognized for Best Student Paper Award. Lu was the Teaching Assistant of data mining course at KAUST.

Mr. Guolei Sun is a senior PhD student in KAUST MINE group. Guolei performed as the best student at all graduate level course in KAUST computer science (CS) program (with all A grades). He was the Teaching Assistant of several CS courses. His research focuses on graph mining and supervised learning. He has completed several research papers including one published at AAAI.

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Date and Time

Location

Kempinski Al Othman Hotel Al Khobar

King Saud Road

Al Khobar, Eastern Province 34232

Saudi Arabia

View Map

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