This chapter summarizes the fundamental aspects of supervised methods. The chapter provides an overview of concepts from various interrelated fields used in subsequent chapters. It presents basic definitions and arguments from the supervised machine learning literature and considers various issues, such as per- formance evaluation techniques and challenges for data mining tasks.
CITATION STYLE
Maimon, O., & Rokach, L. (2006). Introduction to Supervised Methods. In Data Mining and Knowledge Discovery Handbook (pp. 149–164). Springer-Verlag. https://doi.org/10.1007/0-387-25465-x_8
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