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COMP620: Graduate Seminar in Distributed Computing - Big Data and Analytics Systems
Course Information (Spring 2015)
Instructor: | Prof. Faye Briggs, DH 2062 | Graduate TA: | Deepak Majeti, DH 2069 |
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Lectures: | Keck 107 | Lecture times: | Fri 11:00 am - 11:50 am |
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Lecture Slides and Notes
| 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 / Big Data and Analytics Systems: Computer System Architecture | 1/30/2015 | PPT1, PPT2 |
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Schedule for Student Presentations
Note: The slides and related material for each topic will be provided. Hence, do not hesitate about the workload if you like a topic not in your domain.
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 | 2/6/2015 | |
| 2 | Similarity search, including the key techniques of min-hashing and locality sensitive hashing | 2/13/2015 | ||
| 3 | Data-stream processing and specialized algorithms for dealing with data that arrives so fast it must be processed immediately or lost | 2/20/2015 | ||
| 4 | The technology of search engines, including Google’s Page Rank, link-spam detection, and the hubs-and-authorities approach | 2/27/2015 | ||
| 5 | Frequent-itemset mining, including association rules, market-baskets, the A-Priori Algorithm and its improvements | 2/6/2015 | ||
| 6 | Algorithms for clustering very large, high-dimensional datasets | 3/13/2015 | ||
| 7 | Two key problems for Web applications: managing advertising and recommendation systems | 3/20/2015 | ||
| 8 | Algorithms for analyzing and mining the structure of very large graphs, especially social-network graphs | 3/27/2015 | ||
| 9 | Techniques for obtaining the important properties of a large dataset by dimensionality reduction, including singular-value decompositionand latent semantic indexing | 4/3/2015 | ||
| 10 | Machine-learning algorithms that can be applied to very large data, such as perceptrons, support-vector machines, and gradient descent | 4/10/2015 |
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Resources
Text Book: Mining of Massive Datasets, Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman
Systems Architecture for Big Data and Analytics : A Big Data Architecture for Large Scale Security Monitoring, by Samuel Marchal, Xiuyan Jiang, Radu State, Thomas Engel
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Cell Phone Mini Challenge Award : Intuitive Social Network Graphs Visual Analytics of Cell Phone Data using MobiVis and OntoVis, by Carlos D. Correa Tarik Crnovrsanin Christopher Muelder Zeqian Shen Ryan Armstrong James Shearer Kwan-Liu Ma