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Abstract
Data Mining accomplishes nontrivial extraction of implicit, previously unknown, and potentially useful information of data. The aim of data mining is to discover knowledge out of data and present it in a form that is easily comprehensible to humans. Neural Networks are analytic techniques capable of predicting new observations from other observations after executing a process of so-called learning from existing data. Neural Network techniques can also be used as a component of analyses designed to build explanatory models. Now there is neural network software that uses sophisticated algorithms directly contributing to the model building process. The latest developments in research on neural networks bring them much closer to the ideal of data mining: knowledge out of data in understandable terms. The main goal of the review is to compare neural networks with other techniques for data mining and to overview some examples of application of neural networks to data mining processes in practice.
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References
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- ABDI, H., VALENTIN, D., EDELMAN, B.E. 1999. Neural Networks. Thousand Oaks: Sage.
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- Kaufman, NewYork.
- WESTPHAL, C., BLAXTON, T. 1998. Data mining solutions. Wiley, NewYork.
- WITTEN, I.H. and FRANK, E. 2000. Data mining. Morgan-Kaufmann, NewYork.
- ALYUDA Research Company. http://www.alyuda.com/neural-network-software.htm
- A Novel Approach to Modelling and Diagnosing the Cardiovascular System.
- http://www.emsl.pnl.gov:2080/docs/cie/neural/papers2/keller.wcnn95.abs.html
- Artificial Neural Networks in Medicine.
- http://www.emsl.pnl.gov:2080/docs/cie/techbrief/NN.techbrief.html
- Data Mining.
- http://datamining.itsc.uah.edu/index.jsp
- Electronic Statistics Textbook, Stat Soft Inc., 1984-2006, http://www.statsoft.com/textbook/stdatmin.html.
- Kdnuggets. http://www.kdnuggets.com/index.html
- MATLAB
- http://en.wikipedia.org/wiki/MATLAB
- Neural Networks at Pacific Northwest National Laboratory
- http://www.emsl.pnl.gov:2080/docs/cie/neural/neural.homepage.html
- Neural network software
- http://en.wikipedia.org/wiki/Neural_network_software
- Neuralware
- http://www.neuralware.com/products.jsp
- Portal on forecasting with artificial neural networks
- http://www.neural-forecasting.com/neural_forecasting_associations.htm
- Stergiou Ch. and Siganos D., Neural Networks, http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html
- Stuttgart Neural Network Simulator
- http://en.wikipedia.org/wiki/Stuttgart_Neural_Network_Simulator
References
ABDI, H. 1994. A neural network primer. Journal of Biological Systems, 2: 247-281.
ABDI, H., VALENTIN, D., EDELMAN, B.E. 1999. Neural Networks. Thousand Oaks: Sage.
ANDERSON, J.A. 1995. An Introduction to Neural Networks. ISBN 0-262-01144-1. The MII Press, Cambridge, Massachustts.
ARBIB, M.A. (Ed.) 1995. The Handbook of Brain Theory and Neural Networks. The MII Press, Cambridge, Massachustts.
BERRY, M.J.A. and LINOFF, G.S. 2000. Mastering data mining. NewYork:Wiley.
BIGUS, J.P. 1996. Data Mining with Neural Networks, McGraw-Hill, New York.
BISHOP, C. 1995. Neural Networks for Pattern Recognition. Oxford: University Press.
CARLING, A. 1992. Introducing Neural Networks.: Sigma Press, Wilmslow, UK.
EDELSTEIN, H.A. 1999. Introduction to data mining and knowledge discovery (3rd ed). Potomac, MD: Two Crows Corp.
FAUSETT, L. 1994. Fundamentals of Neural Networks. Prentice Hall, NewYork
FAYYAD, U.M., PIATETSKY-SHAPIRO, G., SMYTH, P. and UTHURUSAMY, R. 1996. Advances in knowledge discovery and data mining., MIT Press, Cambridge.
FUKUSHIMA, K. 1975. Cognitron: A Self-Organizing Multilayered Neural Network. Biological Cybernetics 20: 121–136.
GARDNER, E.J. and DERRIDA, B. 1988. Optimal storage properties of neural network models. Journal of Physics A 21: 271–284.
HAN, J., KAMBER, M. 2000. Data mining: Concepts and Techniques, Morgan-Kaufman, New York.
HASTIE, T., TIBSHIRANI, R. and FRIEDMAN, J.H. 2001. The elements of statistical learning : Data mining, inference, and prediction, Springer, NewYork.
HAYKIN, S. 1994. Neural Networks: A Comprehensive Foundation. Prentice Hall. New York.
KLIMASAUSKAS, CC. 1989. The 1989 Neuro Computing Bibliography. The MII Press, Cambridge, Massachustts.
MAASS, W. and MARKRAM, H. 2002, On the computational power of recurrent circuits of spiking neurons. Journal of Computer and System Sciences 69(4): 593–616.
MACKAY, DAVID. 2003. Information Theory, Inference, and Learning Algorithms. Cambridge University Press Pregbon, D. (1997) data mining. Statistical computing and graphyics newesletters, 7,p.8.
MANDIC, D. and CHAMBERS, J. 2001. Recurrent Neural Networks for Prediction: Architectures, Learning algorithms and Stability. Wiley.
MINSKY, M.L. and PAPERT, S.A. 1969. Perceptrons, An introduction to computational geometry, MIT press, expanded edition.
PATTERSON, D. 1996. Artificial Neural Networks. Singapore: Prentice Hall.
PREGIBON, D. 1997. Data Mining. Statistical Computing and Graphics, 7,8.
REILLY, D.L., COOPER, L.N. and ELBAUM, C. 1982. A Neural Model for Category Learning. Biological
Cybernetics 45: 35–41.
RIPLEY, B.D. 1996. Pattern Recognition and Neural Networks. Cambridge University Press.
WASSERMAN, P.D. 1989. Neural computing theory and practice. Van Nostrand Reinhold.
WEISS, S.M. and INDURKHYA, N. 1997. Predictive data mining: A practical guide. Morgan-
Kaufman, NewYork.
WESTPHAL, C., BLAXTON, T. 1998. Data mining solutions. Wiley, NewYork.
WITTEN, I.H. and FRANK, E. 2000. Data mining. Morgan-Kaufmann, NewYork.
ALYUDA Research Company. http://www.alyuda.com/neural-network-software.htm
A Novel Approach to Modelling and Diagnosing the Cardiovascular System.
http://www.emsl.pnl.gov:2080/docs/cie/neural/papers2/keller.wcnn95.abs.html
Artificial Neural Networks in Medicine.
http://www.emsl.pnl.gov:2080/docs/cie/techbrief/NN.techbrief.html
Data Mining.
http://datamining.itsc.uah.edu/index.jsp
Electronic Statistics Textbook, Stat Soft Inc., 1984-2006, http://www.statsoft.com/textbook/stdatmin.html.
Kdnuggets. http://www.kdnuggets.com/index.html
MATLAB
http://en.wikipedia.org/wiki/MATLAB
Neural Networks at Pacific Northwest National Laboratory
http://www.emsl.pnl.gov:2080/docs/cie/neural/neural.homepage.html
Neural network software
http://en.wikipedia.org/wiki/Neural_network_software
Neuralware
http://www.neuralware.com/products.jsp
Portal on forecasting with artificial neural networks
http://www.neural-forecasting.com/neural_forecasting_associations.htm
Stergiou Ch. and Siganos D., Neural Networks, http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html
Stuttgart Neural Network Simulator
http://en.wikipedia.org/wiki/Stuttgart_Neural_Network_Simulator