Lecture 0. Overview of Data Mining and Knowledge Discovery in Databases (KDD). Monday, May 19, 2003 William H. Hsu Department of Computing and Information Sciences, KSU http://www.cis.ksu.edu/~bhsu Recommended Reading: KDD Intro, U. Fayyad Chapter 1, Machine Learning , T. M. Mitchell
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Overview of Data Mining
and Knowledge Discovery in Databases (KDD)
Monday, May 19, 2003
William H. Hsu
Department of Computing and Information Sciences, KSU
KDD Intro, U. Fayyad
Chapter 1, Machine Learning, T. M. Mitchell
MLC++ Tutorial, R. Kohavi and D. Sommerfield
Why Knowledge Discovery in Databases?
What Are KDD and Data Mining?
Stages of KDD
Rule and Decision Tree Learning
THEN probability of computer sale is 0.5
Text Mining:Information Retrieval and Filtering
I'm writing an adaptive marching cube algorithm, which must deal with cracks. I got the vertices of the cracks in a list (one list per crack).
Does there exist an algorithm to triangulate a concave polygon ? Or how can I bisect the polygon so, that I get a set of connected convex polygons.
The cases of occuring polygons are these:
Learning to Reason
Missing Data Estimators
Power Law of Practice
Specifying A Learning Problem
Determine Type of
Determine Representation of
Design Choices and Issuesin KDD
Survey of Machine Learning Methodologies
Unsupervised Learning:Data Clustering for Information Retrieval
Cluster Formation and Segmentation Algorithm (Sketch)
Decision Support System
Definition of New
High-Performance Computing and KDD:Wrappers for Performance Enhancement
AI and Machine Learning:Some Basic Topics
NCSA Automated Learning Group (Welge)