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start [2020/09/02 23:05] – aan | start [2020/09/08 03:29] (current) – aan | ||
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~~NOTOC~~ | ~~NOTOC~~ | ||
- | ====== | + | ====== |
===== Description | ===== Description | ||
- | Data mining or knowledge discovery from databases (KDD) is one of the most active areas of research in databases. It is at the intersection of database systems, statistics, | + | Data mining or knowledge discovery from databases (KDD) is one of the most active areas of research in computer science. It is at the intersection of AI/machine learning, database systems, statistics, and data visualization. In this course, we will introduce the concepts of data mining and present data mining algorithms and applications. Topics include association rule mining, sequential pattern mining, classification models, and clustering. |
===== Lecture Times ===== | ===== Lecture Times ===== | ||
- | | + | Lectures will be delivered live on Zoom on Mondays and Wednesdays at 10: |
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+ | The first lecture will be on Wednesday September 9 at 10:00 - 11:30am. | ||
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+ | Please go to [[https:// | ||
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+ | ===== Instructor ===== | ||
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+ | * Aijun An [[http:// | ||
+ | * Email: aan@eecs.yorku.ca | ||
+ | /* * Office Hour: Mondays and Wednesdays 11:30am - 12:00pm */ | ||
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start.1599087959.txt.gz · Last modified: 2020/09/02 23:05 by aan