Važna literatura i WEB adrese
Ovdje je dan popis, po mišljenju autora, važnijih referenci iz područja inteligentne analize podataka. To nije ni iscrpan ni konačan popis i vrlo vjerojatno će se u budućnosti još mijenjati. On sadrži popis važnijih knjiga, članaka ('offline' reference), kao i veze na tekstove, priručnike i prezentacije na WEB-u ('online' reference).'Offline' reference
Uvodni tekstovi o području
- 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).
Opći tekstovi
- 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.
O tehnikama modeliranja
- 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' reference
Generalne WEB stranice o DM i KDD
KDnuggets.com - po mnogočemu najvažniji
izvor informacija u području inteligentne obrade podataka.
http://www.kdnuggets.com
The Data Mine - server s informacijama o DM (konferencije, članci, software ...).
http://www.andypryke.com/university/TheDataMine.html
Knowledge Discovery Central - još jedan generalni server s informacijama o DM
http://www.kdcentral.com/
Evaluation of Intelligent Systems (EIS) - server sa uputama o vodjenju eksperimenata, analizi podataka i statističkim metodama.
http://eksl-www.cs.umass.edu/eis/index.html
DM priručnici
Introduction to Knowledge Discovery and Data Mining
by Tu Bao Ho
CRISP-DM - CRoss Industry Standard Process for Data Mining - rezultat projekta četiri kompanije koje su lideri u primjeni metoda inteligentne obrade podataka u svojim područjima djelatnosti.
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
Tehnike modeliranja podataka
Association Rules
ARMiner - klijent-server aplikacija bazirana na metodi asocijativnih pravila
maintained by L. Cristofor.
http://www.cs.umb.edu/~laur/ARMiner/
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
Data Clustering and Its Applications
by Raza Ali, Usman Ghani , Aasim Saeed
http://members.tripod.com/asim_saeed/paper.htm
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
B-Course - WEB aplikacija i edukacijski materijal o Bayesovim mrežama
vodjen od strane Complex Systems Computation Group,
Department of Computer Science, University of Helsinki
('online' analiza podataka bazirana na metodi Bayesovih mreža)
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 - Institut Rudjer Bošković
Posljednja izmjena: September 08 2015 09:28:57.