DMS Tutorial - References

Offline reading

Introductory

Fayyad U.; Piatetsky-Shapiro, G.; Smyth P.: From Data Mining to Knowledge Discovery: An Overview, In (Fayyad et al, 1996).
Brachman, R.; Anand, T.: The Process of Knowledge Discovery in Databases: A Human Centered Approach, In (Fayyad et al, 1996).

General

Pyle, D.; Data Preparation for Data Mining, Morgan Kaufmann, 1999.
Hofsheimer, M.; Siebes, A.P: Data Mining: The Search for Knowledge in Databases, Report CS-R9406, CWI, Amsterdam, 1994.
Witten, J., Eibe, F. : Data Mining: Practical Machine Learning tools and techniques wit Java implementations, Morgan Kaufmann, 2000.
Weiss, S.; Indurkkhya, N.: Predictive Data Mining - A practical guide, Morgan Kaufmann Publishers Inc, 1998.
Berry J.A.; Linoff, G.S.: Mastering Data Mining: The Art and Science of Customer Relationship Management, Wiley&Sons, Inc., 2000.
Fayyad U., Piatetsky-Shapiro, G.; Uthurusammy, R.: Advances in Knowledge Discovery and Data Mining, AAAI Press/ The MIT Press, 1996.

Techniques

R. Quinlan: C4.5: Programs for Machine Learning, Morgan Kaufmann, 1993.
L. Breiman; J.H. Friedman, R.A. Olshen, C.J. Stone: Classification and Regression Trees, Belmont, 1984.
Cheeseman, P.; Stutz, J.: Bayesian Classification (Autoclass): Theory and Results, In: Fayyad et al 1996)

Online reading

General DM sites

KDnuggets.com - the leading source of information on Data Mining, Web Mining, Knowledge Discovery, and Decision Support Topics.
http://www.kdnuggets.com

The Data Mine - a major server of information related to Data Mining. P apers, Conferences, Software, Home pages, Bibliographies ....
http://www.andypryke.com/university/TheDataMine.html

Knowledge Discovery Central
http://www.kdcentral.com/

Evaluation of Intelligent Systems (EIS) - a server providing guides in experiment design, data analysis and statistics.
http://eksl-www.cs.umass.edu/eis/index.html

DM tutorials

Introduction to Knowledge Discovery and Data Mining
by Tu Bao Ho

CRISP-DM - CRoss Industry Standard Process for Data Mining
result of a project lead by four companies who are leaders in their respective industries
http://www.crisp-dm.org

Tutorial on High Performance Data Mining
by Vipin Kumar and Mahesh Joshi
http://www-users.cs.umn.edu/~mjoshi/hpdmtut.ppt

Course on Knowledge Discovery in Databases
by D.H. Hamilton et al.
http://www2.cs.uregina.ca/~hamilton/courses/831/course.html

Data Mining
by Peter Ross
http://www.dcs.napier.ac.uk/~peter/vldb/dm/dm.html

Data mining in molecluar biology
http://lpis.csd.auth.gr/publications/Biological_Data_Mining.pdf

DM Modelling techniques

Association Rules

ARMiner - a client-server data mining application specialized in finding association rules
maintained by L. Cristofor.
http://www.cs.umb.edu/~laur/ARMiner/

Decision trees

Decision Tree Learning Applet
http://www.cs.ubc.ca/labs/lci/CIspace/Version4/dTree/

Overview of Decision Trees
by D.H. Hamilton et al.
http://www.cs.uregina.ca/~dbd/cs831/notes/ml/dtrees/4_dtrees1.html

Clustering

Data Clustering and Its Applications
by Raza Ali, Usman Ghani , Aasim Saeed
http://members.tripod.com/asim_saeed/paper.htm

Neural Networks

An introduction to neural networks
by A. Blais and D. Mertz
http://www-106.ibm.com/developerworks/linux/library/l-neural/?open&l=805,t=grl,p=NeuralNets

Neural networks
by C. Stergiou and D. Siganos
http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html

Neural nets overview
by J. Fröhlich
http://rfhs8012.fh-regensburg.de/~saj39122/jfroehl/diplom/e-13.html

Mini-tutorial on artificial neural networks
by S. L. Thaler
http://www.imagination-engines.com/ann.htm

Artificial neural networks
by F. Rodriguez
http://www.gc.ssr.upm.es/inves/neural/ann1/anntutorial.html

Bayesian Networks

B-Course - a WEB based tutorial on Bayesian Networks
hosted by Complex Systems Computation Group, Department of Computer Science, University of Helsinki
(online BN analysis is possible, too)
http://b-course.cs.helsinki.fi/

A Brief Introduction to Graphical Models and Bayesian Networks
http://www.ai.mit.edu/~murphyk/Software/BNT/bnt.html

Software Packages for Graphical Models / Bayesian Networks
http://www.cs.berkeley.edu/~murphyk/Bayes/bnsoft.html

Tutorial on Learning With Bayesian Networks
by D. Heckerman
http://research.microsoft.com/~heckerman/

Peter Clark - Software
http://www.cs.utexas.edu/users/pclark/software.html#km

Further reading