Prediction Modeling

Nursah Alkan; Yakup Turgut; Emre Ari; Seval Ata; Mehmet Yasin Ulukus; Mehmet Ali Ergun; Omer Faruk Beyca

doi:10.1007/978-3-030-93823-9_3

Prediction Modeling

Nursah Alkan, Yakup Turgut, Emre Ari, Seval Ata, Mehmet Yasin Ulukus, Mehmet Ali Ergun, Omer Faruk Beyca^*

^*Corresponding author for this work

Department of Industrial Engineering

Istanbul Technical University

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

Abstract

Predictive modeling can be defined as modeling the historical data using statistical and machine learning techniques to predict future observations. Prediction modeling tasks can be grouped into three categories: supervised learning, unsupervised learning and reinforcement learning.

Original language	English
Title of host publication	Springer Series in Advanced Manufacturing
Publisher	Springer Nature
Pages	49-112
Number of pages	64
DOIs	https://doi.org/10.1007/978-3-030-93823-9_3
Publication status	Published - 2022

Publication series

Name	Springer Series in Advanced Manufacturing
ISSN (Print)	1860-5168
ISSN (Electronic)	2196-1735

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Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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10.1007/978-3-030-93823-9_3

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abstract = "Predictive modeling can be defined as modeling the historical data using statistical and machine learning techniques to predict future observations. Prediction modeling tasks can be grouped into three categories: supervised learning, unsupervised learning and reinforcement learning.",

author = "Nursah Alkan and Yakup Turgut and Emre Ari and Seval Ata and Ulukus, {Mehmet Yasin} and Ergun, {Mehmet Ali} and Beyca, {Omer Faruk}",

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AU - Alkan, Nursah

AU - Turgut, Yakup

AU - Ari, Emre

AU - Ata, Seval

AU - Ulukus, Mehmet Yasin

AU - Ergun, Mehmet Ali

AU - Beyca, Omer Faruk

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M3 - Chapter

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T3 - Springer Series in Advanced Manufacturing

SP - 49

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BT - Springer Series in Advanced Manufacturing

PB - Springer Nature

ER -

Prediction Modeling

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