Abstract
Supervised learning has been a great success in real-world applications. It is used in almost every domain, including text and Web domains. Supervised learning is also called classification or inductive learning in machine learning. This type of learning is analogous to human learning from past experiences to gain new knowledge in order to improve our ability to perform real-world tasks. However, since computers do not have “experiences”, machine learning learns from data, which are collected in the past and represent past experiences in some real-world applications.
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© 2007 Springer-Verlag Berlin Heidelberg
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(2007). Supervised Learning. In: Web Data Mining. Data-Centric Systems and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37882-2_3
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DOI: https://doi.org/10.1007/978-3-540-37882-2_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37881-5
Online ISBN: 978-3-540-37882-2
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