Difference between revisions of "Course: Big Data Analysis"

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== Week 10: Monday Nov. 11th  - - Finding Similar Items and Information Integration ==
== Week 10: Monday Nov. 11th  - Finding Similar Items and Information Integration ==
* Similarity: Applications, Measures and Efficiency considerations
* Similarity: Applications, Measures and Efficiency considerations
** Lecture notes: http://vgc.poly.edu/~juliana/courses/cs9223/Lectures/similarity.pdf
** Lecture notes: http://vgc.poly.edu/~juliana/courses/cs9223/Lectures/similarity.pdf
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'''Due November 17th'''
'''Due November 17th'''
Your assignment is in  http://www.newgradiance.com/services. Please see http://vgc.poly.edu/~juliana/courses/cs9223 for instructions on how to access this service.
Your assignment is in  http://www.newgradiance.com/services. Please see http://vgc.poly.edu/~juliana/courses/cs9223 for instructions on how to access this service.


== Week 11: Monday Nov 18th- Frequent Itemsets ==
== Week 11: Monday Nov 18th- Frequent Itemsets ==

Revision as of 19:54, 8 September 2013

Fall 2013

This schedule is tentative and subject to change

Make sure to check my.poly.edu for course announcements

Week 1: Monday Sept. 9th - Course Overview

Required Reading

Additional References

Week 2: Monday Sept. 16th - Map-Reduce/Hadoop

Required Reading

Additional References

Week 3: Monday Sept. 23rd - Data Management for Big Data

Related Topics

Required Reading

Additional References

Week 4: Monday Sept 30th - Query Processing on Mapreduce and High-level Languages

Required Reading


Week 5: Monday Oct. 7th Invited Speaker: Torsten Suel


Week 6: Mon Oct. 14th - Fall Break - No class

Week 7: Monday Oct. 22st - Graph Algorithms

TODO

Readings


Week 8: Monday Oct 28th- Statistics is easy - Invited Speaker: Dennis Shasha


Week 9: Monday Nov 5th - EM and Text Processing

TODO


Readings

  • Data-Intensive Text Processing with MapReduce, Chapter 6


Week 10: Monday Nov. 11th - Finding Similar Items and Information Integration

Required Reading

Homework Assignment

Due November 17th Your assignment is in http://www.newgradiance.com/services. Please see http://vgc.poly.edu/~juliana/courses/cs9223 for instructions on how to access this service.

Week 11: Monday Nov 18th- Frequent Itemsets

Required Reading

  • Mining of Massive Datasets, Chapter 4

Homework Assignment

Due November 24th

Additional Reading


Week 12: Monday Nov. 25th - Clustering

Homework Assignment

Due Dec 1st

Readings

Further Readings


Week 13: Monday Dec. 2nd - Invited lecture by Enrico Bertini

Readings

The Value of Visualization. IEEE Visualization 2005. Jarke J. van Wijk. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.1138

Visualization Analysis and Design: Principles, Methods, and Practice. Tamara Munzner (Book Draft 2 from Sep. 2012). http://www.cs.ubc.ca/~tmm/courses/533-11/book/vispmp-draft.pdf


Week 14: Monday Dec. 9th - Recommendation Systems

Readings

  • Ullman chapter 9



Week 15 Monday Dec. 16th - Final Exam

Other topics

Provenance

Juliana Freire and Claudio Silva. In Computing in Science and Engineering 14(4): 18-25, 2012.

Juliana Freire, David Koop, Emanuele Santos, and Claudio T. Silva. In IEEE Computing in Science & Engineering, 2008.