Introduction to Supervised Methods.

Oded Maimon; Lior Rokach

doi:10.1007/0-387-25465-X_8

Introduction to Supervised Methods.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

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 performance evaluation techniques and challenges for data mining tasks

Original language	English
Title of host publication	The Data Mining and Knowledge Discovery Handbook
Publisher	Springer, Boston, MA
Pages	149-164
Number of pages	16
ISBN (Electronic)	978-0-387-25465-4
ISBN (Print)	978-0-387-24435-8
DOIs	https://doi.org/10.1007/0-387-25465-X_8
State	Published - 2005
Externally published	Yes

Keywords

Attribute
Classifier
Inducer
Regression
Training set
Supervised Methods
Instance Space
Sampling
Generalization error

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10.1007/0-387-25465-X_8

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author = "Oded Maimon and Lior Rokach",

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KW - Attribute

KW - Classifier

KW - Inducer

KW - Regression

KW - Training set

KW - Supervised Methods

KW - Instance Space

KW - Sampling

KW - Generalization error

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BT - The Data Mining and Knowledge Discovery Handbook

PB - Springer, Boston, MA

ER -

Introduction to Supervised Methods.

Abstract

Keywords

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Cite this