IJCSS
VOLUME 1, No. 1, 2000, ISSN 1608-5655
CONTENT
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Part
I of the Special issue:
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KNOWLEDGE DISCOVERY FROM STRUCTURED AND UNSTRUCTURED DATA |
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| Editorial message from VB Bajic, Editor-in-Chief | Page 1 | Coming Soon |
| Message from the Guest Editor, A Engelbrecht | Page 3 | Download the PDF Version |
| Temporal knowledge discovery with self-organizing neural networks, G Guimarães | Page 5 | Download the PDF Version |
| A clustering algorithm for extracting rules from supervised neural network models in data mining tasks, ER Hruschka, NFF Ebecken | Page 17 | Download the PDF Version |
| Creating rules from trained networks using genetic algorithms, E Keedwell, A Narayanan, D Savic | Page 30 | Download the PDF Version |
| The prediction of financial distress using structured financial data from the internet, FY Lin, S McClean | Page 43 | Download the PDF Version |
| An adaptive sumarizing control chart, PD Pretorius, AG de Wet, JH Venter | Page 58 | Download the PDF Version |
| Discovering hierarchical decision rules with evolutive algorithms in supervised learning, JC Riquelme, JS Aguilar, M Toro | Page 73 | Download the PDF Version |
| Impact of learning set quality and size on decision tree performances, M Sebban, R Nock, JH Chauchat, R Rakotomalala | Page 85 | Download the PDF Version |
| Genetic algorithms and extraction of rules for detection of short DNA motifs. PY Tabakov, VB Bajic. | Page 106 | Download the PDF Version |