Statistical Data Mining
INFT/CSI 979
Spring Semester 2001
The lecture notes are Adobe pdf documents and require the
Adobe Acrobat Reader version 4.0 or later, which may be obtained free from Adobe.
- Notes on Project for Spring 2001
- Notes from 1996 Data Mining Course
- Crystal Vision Software
- Datasets are available from a number of sources
- Approved Project Topics:
- James Rogers, Cities Rated Data - PowerPoint |
Paper
- Bang Phan, Internet and Web Usage Data - PowerPoint
- Roger Shores, Auto79, Investment, Body Fat Data
- Mark Lukens, Army Position Data - PowerPoint
- Robert Holcomb, Army Digital Traffic Data - PowerPoint
- Vu T. Le, Compare Iterative Genetic Algorithms and Adaptive Mixtures on Pollen Data -
PowerPoint | Paper
- James Bonick, Image Texture Data - Paper
- Clyde Fortna, Daytime Temperature of N2 Data - Website
- Valentin Prudius, Virginia Birth Certificate Data - PowerPoint
- Felix Mihai, Compare CrystalVision and AQ Algorithm on Bodyfat and Places Data -
Paper
- Nidal Alkharouf, Auto79, Body Fat, Places Data - PowerPoint |
Paper
- Nga D. Pham, Farza Soroushi, Energy Use - Temperature Data -
- C. D. Cuppan, Nominal Hyperdimensional Time Series Data - PowerPoint
- Mehrdad Saba, ASA Biomedical Data - PowerPoint
- Zac Arens, Credit Card Data - PowerPoint |
Paper |
Excel formatted Data
- Emmanuel Sikali, Clustering ADSS Database - PowerPoint
- Yi Li, Yaru Li, and Salam Reyen, Cars, Occupation and Spam Email Data -
PowerPoint on Cars Data |
PowerPoint on Occupation Data |
PowerPoint on Spam Email Data