Lecture Notes
The following slides are based on the additional material provided with the textbook that we use and the book by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar "Introduction to Data Mining"

Sep 05, 2007: Course Overview  [PPT]
Sep 10, 2007: Data Warehouses and OLAP   [PPT]
Sep 12, 2007: OLAP II  [PPT]
Sep 17, 2007: Data Preprocessing   [PPT]
Sep 19, 2007: Association Rule Mining-I   [PPT]
Sep 19, 2007: Apriori Paper   [PDF]
Sep 24, 2007: Mining maximal FIs   [PPT]
Sep 24, 2007: MaxMiner Paper   [PDF]
Oct 1, 2007: Association Rules and Correlation Analysis   [PPT]
Oct 3, 2007: Classification-I   [PPT]
Oct 3, 2007: SLIQ Paper   [PDF]
Oct 9, 2007: Classification-II   [PPT]
Oct 10, 2007: Classification-III   [PPT]
Oct 15, 2007: Clustering-I   [PPT]
Oct 22, 2007: Clustering-II   [PPT]
Oct 24, 2007: Clustering-III   [PPT]
Oct 29, 2007: Midterm
Oct 31, 2007: Clustering-IV   [PPT]
Nov 5, 2007: Time Series Databases   [PPT]
Nov 7, 2007: Time Series and Spatial Indexing   [PPT]

Nov 14, 2007: Sequential Pattern Mining   [PPT]
Nov 19, 2007: Data Stream Mining   [PPT]
Nov 19, 2007: Lossy Counting Paper   [PDF]
Nov 26, 2007: Data Stream Mining and Querying   [PPT]
Nov 28, 2007: Dimensionality Reduction   [PPT]
Nov 28, 2007: FastMap Paper   [PDF]
Dec 3, 2007: Outlier Detection   [PPT]
Dec 5, 2007: Web and Text Search   [PPT]
Dec 10, 2007: Privacy Preserving Data Mining   [Tutorial by Prof. Chris Clifton]