Further Reading

Aoki I, Komatsu T, and Hwang K (1999) Prediction of response of zooplankton biomass to climatic and oceanic changes. Ecological Modelling 120(2-3): 261-270. Allaby M (1996) Basics of Environmental Science. London: Routledge. Bell JF (1999) Tree based methods. In: Fielding AH (ed.) Machine Learning Methods for Ecological Applications, pp. 89-105. Dordrecht, The Netherlands: Kluwer Academic Publishers. Breiman L, Friedman J, Olshen R, and Stone C (1984) Classification and

Regression Trees. Belmont, CA: Wadsworth. Brosse S, Guegan J-F, Tourenq J-N, and Lek S (1999) The use of artificial neural networks to assess fish abundance and spatial occupancy in the littoral zone of a mesotrophic lake. Ecological Modelling 120(2-3): 299-311. Clark P and Boswell R (1991) Rule induction with CN2: Some recent improvements. In: Proceedings of the Fifth European Working Session on Learning, pp. 151-163. Berlin: Springer. Debeljak M, DZeroski S, Jerina K, Kobler A, and Adamic M (2000) Habitat suitability modelling of red deer (Cervus elaphus L.) in south-central Slovenia. Ecological Modelling 138: 321-330. Debeljak M, DZeroski S, and Adamic; M (1999) Interactions among the red deer (Cervus elaphus L.) population, meteorological parameters and new growth of the natural regenerated forest in SneZnik, Slovenia. Ecological Modelling 121(1): 51-61. DZeroski S (2001) Data mining in a nutshell. In: DZeroski S and Lavracc N

(eds.) Relational Data Mining, pp. 3-27. Berlin: Springer. DZeroski S (2002) (Applications of KDD in) environmental sciences. In: Kloesgen W and Zytkow JM (eds.) Handbook of Data Mining and Knowledge Discovery, pp. 817-830. Oxford: Oxford University Press.

DZeroski S and Grbovic J (1995) Knowledge discovery in a water quality database. In: Proceedings of the First International Conference on Knowledge Discovery and Data Mining, pp. 81-86. Menlo Park, CA: AAAI Press.

DZeroski S, Todorovski L, Bratko I, Kompare B, and KriZman V (1999) Equation discovery with ecological applications. In: Fielding AH (ed.) Machine Learning Methods for Ecological Applications, pp. 185-207. Boston: Kluwer Academic. Fayyad U, Piatetsky-Shapiro G, and Smyth P(1996) From data mining to knowledge discovery: An overview. In: Fayyad U, Piatetsky-Shapiro G, Smyth P, and Uthurusamy R (eds.) Advances in Knowledge Discovery and Data Mining, pp. 1-34. Cambridge, MA: MIT Press.

Fielding AH (1999) An introduction to machine learning methods. In: Fielding AH (ed.) Machine Learning Methods for Ecological Applications, pp. 1-35. Dordrecht, The Netherlands: Kluwer Academic.

Fielding AH (ed.) (1999) Machine Learning Methods for Ecological Applications. Dordrecht, The Netherlands: Kluwer Academic.

Frawley W, Piatetsky-Shapiro G, and Matheus C (1991) Knowledge discovery in databases: An overview. In: Piatetsky-Shapiro G and Frawley W (eds.) Knowledge Discovery in Databases, pp. 1-27. Cambridge, MA: MIT Press.

Han J and Kamber M (2001) Data Mining: Concepts and Techniques. San Francisco: Morgan Kaufmann.

Hogg RV and Craig AT (1995) Introduction to Mathematical Statistics, 5th edn. Englewood Cliffs, NJ: Prentice Hall.

Jeffers JNR (1999) Genetic algorithms. In: Fielding AH (ed.) Machine Learning Methods for Ecological Applications, pp. 107-121. Dordrecht, The Netherlands: Kluwer Academic.

Kampichler C, DZeroski S, and Wieland R (2000) The application of machine learning techniques to the analysis of soil ecological data bases: Relationships between habitat features and Collembola community characteristics. Soil Biology and Biochemistry 32: 197-209.

Kaufman L and Rousseeuw PJ (1990) Finding Groups in Data: An Introduction to Cluster Analysis. New York: Wiley.

Kobler A and Adamic M (1999) Brown bears in Slovenia: Identifying locations for construction of wildlife bridges across highways. In: Proceedings of the Third International Conference on Wildlife Ecology and Transportation, pp. 29-38. Tallahassee, FL: Florida Department of Transportation.

Kompare B and DZeroski S (1995) Getting more out of data: Automated modelling of algal growth with machine learning. In: Proceedings of the International Conference on Coastal Ocean Space Utilization pp. 209-220. University of Hawaii.

Kompare B, DZeroski S, and Karalicc A (1997) Identification of the Lake of Bled ecosystem with the artifical intelligence tools M5 and FORS. In: Proceedings of the Fourth International Conference on Water Pollution, pp. 789-798. Southampton: Computational Mechanics Publications.

Kompare B, DZeroski S, and KriZman V (1997) Modelling the growth of algae in the Lagoon of Venice with the artificial intelligence tool GoldHorn. In: Proceedings of the Fourth International Conference on Water Pollution, pp. 799-808. Southampton: Computational Mechanics Publications.

Lek-Ang S, Deharveng L, and Lek S (1999) Predictive models of collembolan diversity and abundance in a riparian habitat. Ecological Modelling 120(2-3): 247-260.

Lek S and Guegan JF (eds.) (1999) Special Issue: Application of Artificial Neural Networks in Ecological Modelling. Ecological Modelling , Ecological Modelling 120(2-3). 65-73.

OZesmi SL and OZesmi U (1999) An artificial neural network approach to spatial habitat modeling with interspecific interaction. Ecological Modelling 116(1): 15-31.

Quinlan JR (1986) Induction of decision trees. Machine Learning 1: 81-106.

Recknagel F, French M, Harkonen P, and Yabunaka K (1997) Artificial neural network approach for modelling and prediction of algal blooms. Ecological Modelling 96(1-3): 11-28.

Scardi M and Harding LW (1999) Developing an empirical model of phytoplankton primary production: A neural network case study. Ecological Modelling 120(2-3): 213-223.

Schleiter IM, Borchardt D, Wagner R, et al. (1999) Modelling water quality, bioindication and population dynamics in lotic ecosystems using neural networks. Ecological Modelling 120(2-3): 271-286.

Stankovski V, Debeljak M, Bratko I, and Adamic M (1998) Modelling the population dynamics of red deer (Cervus elaphus L.) with regard to forest development. Ecological Modelling 108(1-3): 145-153.

Taylor P (1999) Statistical methods. In: Berthold M and Hand DJ (eds.) Intelligent Data Analysis: An Introduction, pp. 67-127. Berlin: Springer.

Todorovski L, DZeroski S, and Kompare B (1998) Modelling and prediction of phytoplankton growth with equation discovery. Ecological Modelling 113: 71-81.

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