Jiawei Han




Jiawei Han is a Chinese computer scientist, and Abel Bliss Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign, who has been working on research into data mining, data warehousing, database systems, data mining from spatiotemporal data, Web data, and social/information network data.

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Oct 31st 2016

Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications.

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Oct 24th 2016

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery.

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