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DM Methodology

Further reading

This is a list of the important material about data mining we used to encounter working in this field. It is by no means exhaustive, and it may change in future. It includes a list of important books and articles (offline reading), as well as links (online reading) to specific texts, articles, tutorials, and presentations available on WEB.

Offline reading

Introductory

General

Techniques


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




© 2001 LIS - Rudjer Boskovic Institute
Last modified: June 23 2018 14:28:31.