Chapter 5

Other classification examples

Abstract

In this chapter we will present how real-world classification problems can be solved from scratch by machine learning techniques. A great deal of current interest among the research community involves the use of machine learning techniques for recognition, classification, and forecasting. Several classification examples, including intrusion detection, phishing website detection, credit card fraud detection, spam e-mail detection, and credit scoring, are employed to find abnormalities characterized by data variations. Machine learning techniques can automate anomaly detection by constructing decision surfaces to classify these patterns. Moreover, image data classification such as character recognition ...

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