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Description
This graduate course will focus on scalable algorithms for data mining.
A special emphasis will be on information retrieval, especially for the
World Wide Web. Topics covered will include (i) link analysis on the internet
(like Google), (ii) content analysis of documents using SVD (Singular
Value Decomposition), SVMs (Support Vector Machines), and linear discriminant
analysis, (iii) image segmentation using graph partitioning, (iv) face
detection in images, (v) clustering and classification algorithms, (vi)
visualization of high-dimensional data, etc. We may study other application
areas, such as bioinformatics, if there is sufficient interest and need.
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