Data Mining
Goals and Objectives:
The aim of the course is to provide the graduate students with an indepth and handson knowledge of algorithms and techniques underlying the field of data mining. The main areas of focus are data mining algorithms, mathematics (linear algebra) and webscale searching. The course is research oriented and is mainly based on recent literature in the field of data mining. The main focus is providing background information on data mining and further looking at the algorithms from an applied perspective which may involve coding algorithms using efficient data structures, running simulations and comparing results.
Course Outline:
 Course Overview & Intro. To Data Mining
 Essential Mathematics in Pattern Detection
 Classification
 ARM
 Clustering
 Page Rank and Google Wars
 LSA/LSI
 Cluster based Searching
 Other Text Search/Mining Methods
 Visual Data Mining
 Algorithms for image mining
 Fuzzy Logic in Data Mining
 Student Presentations
 Misc. Topics, Review and Presentations
Text Books:
 Daniel T. Larose. "Discovering Knowledge in Data: An Introduction to Data Mining." Pub. WileyInterscience. 2004.
 Daniel T. Larose. "Data Mining Methods and Models" Pub. WileyIEEE Press 2006.
 Margaret H. Dunham. "Data Mining: Introductory and Advanced Topics." Prentice Hall; 1st edition 2002
 David Hand, Heikki Mannila and Padhraic Smyth. “Principles of Data Mining.” Pub. Prentice Hall of India 2004.
 Sushmita Mitra and Tinku Acharya, “Data Mining: Multimedia, Soft Computing and Bioinformatics.” Pub. Wiley and Sons Inc.2003.
 Usama M. Fayyad et al, “Advances in Knowledge Discovery and Data Mining.” Pub. The MIT Press, 1996.
Furthermore, a collection of papers addressing specific topics may be distributed in class.
Related Links
Course Name 
Location 
Introduction 
Some introduction from Rutgers university 
CS 345 Data Mining 
Department of Computer Science, Stanford University 
CS 6604: Data Mining 
Department of Computer Science At Virginia Tech 
Data Mining Methods and Models 
From Data Mining Consultants 
UCLA Data Mining Lab 
Data Mining Lab at UCLA Berkley 
Data Mining Resources on the Web 

The Data Mine Dot COM 
Many Resources and Introduction 
KDD Cup 
Data Mining and Knowledge Discovery Competition 
