Difference between revisions of "Course: Big Data Analysis"

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* Big Data and Information Retrieval. Invited lecture by Torsten Suel.
* Big Data and Information Retrieval. Invited lecture by Torsten Suel.
** Lecture notes: http://vgc.poly.edu/~juliana/courses/cs9223/Lectures/search-data.pdf


=== Readings ===
=== Readings ===
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* Introduction to Visualization; Data stewardship and provenance
* Introduction to Visualization; Data stewardship and provenance
* Guest lecture by Claudio Silva and Lauro Lins
* Guest lecture by Claudio Silva and Lauro Lins
** Lecture notes: http://vgc.poly.edu/~juliana/courses/cs9223/Lectures/intro-to-visualization.pdf


=== Readings ===
=== Readings ===
* Hellerstein (ask Claudio for additional references)
The Value of Visualization. IEEE Visualization 2005. Jarke J. van Wijk. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.1138
* ADD: provenance and reproducibility
 
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 8: Monday Oct. 29th - Graph Analysis==  
== Week 8: Monday Oct. 29th - Graph Analysis==  

Revision as of 14:37, 22 October 2012

This schedule is tentative and subject to change

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

Week 1: Monday Sept. 10th - Course Overview

Required Reading

Additional References

Week 2: Monday Sept. 17th - Map-Reduce

Required Reading

Additional References

Week 3: Monday Sept. 24th - Databases and Big Data

Related Topics

Required Reading

Additional Readings

Week 4: Monday Oct. 1st - Statistics is easy - Invited Speaker: Dennis Shasha

Required Reading

Homework Assignment

Due October 9th BigDataHW1

Week 5: Monday Oct. 8st - Finding Similar Items

Required Reading

Homework Assignment

Due October 15th at noon 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 6: Wednesday Oct. 17th - Invited Speaker: Torsten Suel

Note this class will be held on Wednesday!

Readings

Week 7: Monday Oct. 22st - Invited Speakers: Claudio Silva and Lauro Lins

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 8: Monday Oct. 29th - Graph Analysis

  • Graph algorithms, link analysis, social networks

Readings

  • Data-Intensive Text Processing with MapReduce, Chapter 4


Week 9: Monday Nov. 5th - Frequent Itemsets

Reading

  • Mining of Massive Datasets, Chapter 6


Week 10: Monday Nov. 12th - Mining Data Streams =

Readings

  • Mining of Massive Datasets, Chapter 4


Week 11: Monday Nov. 19th - Clustering

Readings

  • Mining of Massive Datasets, Chapter 7

Week 12: Monday Nov. 26th - Recommendation Systems

Readings

  • Mining of Massive Datasets, Chapter 9

Week 13 Monday Dec. 3rd - EM algorithms for text processing

  • Data-Intensive Text Processing with MapReduce, Chapter 6

Week 14: Monday Dec. 10th - Project presentation

Further Readings

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.