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Business Intelligence by Jerzy Surma

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Recommended Literature

Introduction to Data Mining

Han, J., & Kamber, M. (2006). Data mining: Concepts and techniques (2nd ed.). San Francisco, CA: Morgan Kaufmann.

Nisbet, R., Elder, J., & Miner, G. (2009). Handbook of statistical analysis and data mining applications. Amsterdam, Netherlands: Academic Press.

Classification

Breiman, L., Friedman, J., Olshen, R., & Stone, C. (1984). Classification and regression trees. Belmont, CA: Wadsworth International.

Duda, R. O., Hart, P. E., & Stork, D. G. (2000). Pattern classification. New York, NY: Wiley-Interscience.

Quinlan, J. (1993). C4.5: Programs for machine learning. San Francisco, CA: Morgan Kaufmann.

Cluster Analysis

Anderberg, M. (1973). Cluster analysis for applications. Amsterdam, Netherlands: ...

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