Introduction to Proactive Data Mining

Haim Dahan; Shahar Cohen; Lior Rokach; Oded Maimon

doi:10.1007/978-1-4939-0539-3_1

Introduction to Proactive Data Mining

Haim Dahan
, Shahar Cohen
, Lior Rokach
, Oded Maimon

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

Abstract

In this chapter, we provide an introduction to the aspects of the exciting field of data mining, which are relevant to this book. In particular, we focus on classification tasks and on decision trees, as an algorithmic approach for solving classification tasks.

Original language	English
Title of host publication	PROACTIVE DATA MINING WITH DECISION TREES
Publisher	Springer New York
Pages	1-14
ISBN (Electronic)	978-1-4939-0539-3
ISBN (Print)	978-1-4939-0538-6
DOIs	https://doi.org/10.1007/978-1-4939-0539-3_1
State	Published - 15 Feb 2014

Publication series

Name	SpringerBriefs in Electrical and Computer Engineering
Publisher	Springer

Keywords

Active learning
Classification
Data mining
Decision trees
Machine Learning
Supervised learning

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10.1007/978-1-4939-0539-3_1

Cite this

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title = "Introduction to Proactive Data Mining",

abstract = "In this chapter, we provide an introduction to the aspects of the exciting field of data mining, which are relevant to this book. In particular, we focus on classification tasks and on decision trees, as an algorithmic approach for solving classification tasks.",

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AU - Rokach, Lior

AU - Maimon, Oded

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KW - Classification

KW - Data mining

KW - Decision trees

KW - Machine Learning

KW - Supervised learning

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M3 - Chapter

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BT - PROACTIVE DATA MINING WITH DECISION TREES

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Introduction to Proactive Data Mining

Abstract

Publication series

Keywords

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