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Encyclopedia of Machine Learning pp 171Cite as

Classification Algorithms

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There is a very large number of classification algorithms, including decision trees, instance-based learners, support vector machines, rule-based learners, neural networks, Bayesian networks. There also ways of combining them into ensemble classifiers such as boosting, bagging, stacking, and forests of trees.

To delve deeper into classifiers and their role in machine learning, a number of books are recommended covering machine learning (Bishop, 2007; Mitchell, 1997; Written & Frank, 2005) and artificial intelligence (Russell & Norvig, 2003) in general. Seminal papers on classifiers can be found in collections of papers on machine learning (Dietterich & Shavlik, 1990; Kodratoff & Michalski, 1990; Michalski, Carbonell & Mitchell, 1983, 1986).

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Recommended Reading

  • Bishop, C. M. (2007). Pattern recognition and machine learning. New York: Springer.

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  • Dietterich, T., & Shavlik, J. (Eds.). Readings in machine learning. San Mateo, CA: Morgan Kaufmann.

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  • Kodratoff, Y., & Michalski, R. S. (1990). Machine learning: An artificial intelligence approach, (Vol. 3). San Mateo, CA: Morgan Kaufmann.

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  • Michalski, R. S., Carbonell, J. G., & Mitchell, T. M. (Eds.). (1983). Machine learning: An artificial intelligence approach. Palo Alto, CA: Tioga Publishing Company.

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  • Michalski, R. S., Carbonell, J. G., & Mitchell, T. M. (Eds.). (1986). Machine learning: An artificial intelligence approach, (Vol. 2). San Mateo, CA: Morgan Kaufmann.

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  • Mitchell, T. M. (1997). Machine learning. Boston, MA: McGraw-Hill.

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  • Russell, S., & Norvig, P. (2003). Artificial intelligence: A modern approach. Upper Saddle River, NJ: Prentice-Hall.

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  • Witten, I. H., & Frank, E. (2005). Data mining: Practical machine learning tools and techniques. San Fransisco: Morgan Kaufmann.

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Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, University of New South Wales, Sydney, Australia, 2052

    Claude Sammut

  2. Faculty of Information Technology, Clayton School of Information Technology, Monash University, P.O. Box 63, Victoria, Australia, 3800

    Geoffrey I. Webb

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© 2011 Springer Science+Business Media, LLC

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(2011). Classification Algorithms. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_112

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