Difference between revisions of "Course: Big Data Analysis"

From VistrailsWiki
Jump to navigation Jump to search
Line 101: Line 101:
=== Readings ===
=== Readings ===
* [http://infolab.stanford.edu/pub/papers/google.pdf 1998 PageRank Paper]
* [http://infolab.stanford.edu/pub/papers/google.pdf 1998 PageRank Paper]
* [http://infolab.stanford.edu/~ullman/mmds/ch5.pdf Mining of Massive Datasets, Chapter 5]
* [http://lintool.github.com/MapReduceAlgorithms/MapReduce-book-final.pdf Data-Intensive Text Processing with MapReduce, Chapter 4 (Inverted Indexing for Text Retrieval) and 5(Graph Algorithms)]
* Data-Intensive Text Processing with MapReduce, Chapter 5
* [http://infolab.stanford.edu/~ullman/mmds/ch5.pdf Mining of Massive Datasets, Chapter 5 (Link Analysis)]


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

Revision as of 18:54, 2 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

  • Overview of information integration
  • Provenance and data exploration

Required Reading

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.

Week 6: Wednesday Oct. 17th - Invited Speaker: Torsten Suel

Note this class will be held on Wednesday!

  • Big Data and Information Retrieval. Invited lecture by Torsten Suel.

Readings

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

  • Introduction to Visualization; Data stewardship and provenance
  • Guest lecture by Claudio Silva and Lauro Lins

Readings

  • Hellerstein (ask Claudio for additional references)
  • ADD: provenance and reproducibility

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