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Submit Your Links
This page contains links to relevant websites for articles,
journals, software, and career information
for CS391A/691G students. The instructor will add more links
as the course proceeds and students are welcome to submit
links containing content relevant to the course syllabus.
Web Links
Articles:
Researchers Yearn to Use AOL Logs, but They Hesitate
by K. Hafner, New York Times, August 23, 2006
And if You Liked the Movie, a Netflix Contest May Reward
You Handsomely
by K. Hafner, New York Times, October 2, 2006
Tutorials:
Statistics Tutorial and
Resources (courtesy of About.com)
Algorithms/Software:
Brewing Java: A Tutorial
HTML Form Builder
HTML Design Guide
JCreator
Java Land at ORNL
Online JAVA API Specifications
Java Tutorial: Don't Fear the OOP!
Perl Language
PhP Scripts
SenseClusters
Respository in A Box
C4.5 Release8 (R. Quinlan)
Open Source Clustering Software (Cluster 3.0, Java
TreeView, PYCluster, Cluster for PERL, C Clustering Library)
10 Well-Known Algorithms in Data Mining (ICDM06 Presentation)
Vismatrix by D. Gleich et al. at Stanford Univ. (useful for
sparse matrix visualization)
Web Services:
ClearForest SWS
Meetings & Organizations:
ACM SIGKDD
CRISP-DM
KD Nuggets
Knowledge Discovery
Central
Class Lectures/Discussions:
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Lecture Notes (PDF): Chapter 1
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Lecture Notes (PDF): Chapter 2
(chap2-8.avi,
chap2-17.avi)
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Lecture Notes (PDF): Chapter 3
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Lecture Notes (PDF): Chapter 4
Part I,
Part II
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Lecture Notes (PDF): Chapter 5
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Lecture Notes (PDF): Chapter 6
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Lecture Notes (PDF): Chapter 8
Part I,
Part II
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Lecture Notes (PDF): Chapter 10
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Lecture Notes in Data Mining, M.W. Berry, M. Browne,(Eds.),
World Scientific Publishing, Singapore, 2006
(PDF):
Decision Trees by O.A.
Omitaomu,
Association Rules by G.
Mazeroff,
Clustering (Overview) by M.
Aldridge,
Clustering (Hierarchical Algorithms) by H.
Liu,
Clustering (Partitional Algorithms) by K.
Heinrich,
References
Lab Materials:
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