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Course Information (Spring 2015)

Instructor:

Prof. Faye Briggs, DH 2062

Graduate TAs:Deepak Majeti, DH 2069

Lectures:

Keck 107

Lecture times:

F 11:00 am - 11:50am

 


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

DatePresentation
1

Distributed file systems and map-reduce as a tool for creating parallel algorithms that succeed on very large amounts of data


2/6/2015

 
2

Similarity search, including the key techniques of min-hashing and locality sensitive hashing

 2/13/2015 
3Data-stream processing and specialized algorithms for dealing with data that arrives so fast it must be processed immediately or lost 2/20/2015 
4  2/27/2015 
5  2/6/2015 
6  3/13/2015 
7  3/20/2015 
8  3/27/2015 
9    
10    

Resources

Text Book: Mining of Massive Datasets, Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman

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