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Topic | Student Name | Date | Presentation | |
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1 | Distributed file systems and map-reduce as a tool for creating parallel algorithms that succeed on very large amounts of data | Yiting Xia | 2/13/2015 | PPT |
2 | Similarity search, including the key techniques of min-hashing and locality sensitive hashing | Deepak Majeti | 2/20/2015 | |
3 | Data-stream processing and specialized algorithms for dealing with data that arrives so fast it must be processed immediately or lost | Wei-Cheng Xiao | 2/27/2015 | PPTX |
4 | Anomaly Detection | Deepak Majeti | 3/13/2015 | PPT |
5 | The technology of search engines, including Google’s Page Rank, link-spam detection, and the hubs-and-authorities approach | Omid Pouya | 3/20/2015 | PPT1, PPT2 |
6 | Algorithms for clustering very large, high-dimensional datasets | Simbarashe Dzinamarira | 3/27/2015 | |
7 | Two key problems for Web applications: managing advertising and recommendation systems | Lei Tang | 4/10/2015 | |
8 | Algorithms for analyzing and mining the structure of very large graphs, especially social-network graphs | Shangyu Luo | 4/17/2015 | |
9 | Techniques for obtaining the important properties of a large dataset by dimensionality reduction, including singular-value decompositionand latent semantic indexing | Zhipeng Wang | 4/24/2015 | |
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