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Lecture Name | Date | Slides | Notes | |
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1 | Introduction to the course | 1/17/2015 | PPT | |
2 | Course outline and student presentation assignment | 1/23/2015 | PPT | |
3 | Big Data: Applications & Platform Architectures | 1/30/2015 | PPT | |
4 | Big Data and Analytics Systems: Computer System Architecture | 2/6/2015 | PPT | |
5 | More Applications of Big Data | 4/24/2015 |
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Schedule for Student Presentations
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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 | The technology of search engines, including Google’s Page Rank, link-spam detection, and the hubs-and-authorities approach | Anomaly Detection | Deepak MajetiOmid Pouya | 3/13/2015 | PPT |
5 | Frequent-itemset mining, including association rules, market-baskets, the A-Priori Algorithm and its improvements | 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 | 4/310/2015 | ||
8 | Algorithms for analyzing and mining the structure of very large graphs, especially social-network graphs | Shangyu Luo | 4/1017/2015 | ||
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Resources Resources
Text Book: Mining of Massive Datasets, Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman
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