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Stony Brook University
Networks and Data Mining Techniques
CSE590 - Fall 2013

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Announcements

  • 9/4: Assignment dates are updated, see at Assignments tab
  • 8/15: Note that the FIRST CLASS is on THUR Aug 29!
  • 8/07: Welcome to the class! Hope you will enjoy it :)

PEOPLE:

Instructor: Leman Akoglu
  • Office: 1425 Computer Science
  • Office hours: Thur 12 noon - 1 p.m.
  • Email: invert (cs.stonybrook.edu @ leman)


CLASS MEETS:

Time: Tue & Thu 5:30PM - 6:50PM
Place: Psych A, room 137


COURSE DESCRIPTION:

Large-scale (network) data is available everywhere. Acquiring the skills and understanding of how to process and study these large datasets for solving real-world problems, such as anomaly detection, making predictions and recommendations, compression, fast querying, etc. are crucial in today's data-driven world.

This course will cover data mining and graph mining techniques, in particular algorithms and tools for solving data mining problems, and their practical applications in various diverse settings. Topics include time series mining, link analysis, community detection, recommender systems, anomaly and outbreak detection, and mining and learning with graphs. See syllabus for details.


RECOMMENDED TEXTBOOKS:

There is no official textbook for the course. I will post the lecture notes on the Blackboard.
Links to readings can be found on the syllabus page. Below you can find a list of recommended readings. See resources for other books to be aware of.


BULLETIN BOARD and other info


MISC - FUN:

joke1     joke2



Last modified by Leman Akoglu, 2013