Data-driven decision support to reduce "driving-under the influence of alcohol" offenses

Data-driven decision support to reduce "driving-under the influence of alcohol" offenses

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Extracting valuable knowledge from data to support decision making is a widely practiced trend. Data-driven decision support (DDDS) provides insight for decision makers by exploring and extracting underlying patterns within a dataset. This thesis covers the process of DDDS in reducing driving und...

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Bibliographic Details
Main Author: Cherenet, Zerayaeqob
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Information Technology, Informaatioteknologia, University of Jyväskylä, Jyväskylän yliopisto
Format: Master's thesis
Language:eng
Published: 2018
Subjects:
Data-driven optimization
Decision-support
DUI
Multiobjective optimization
Tietotekniikka
Mathematical Information Technology
602
optimointi
päätöksenteko
liikennejuopumus
tiedonlouhinta
koneoppiminen
Online Access: https://jyx.jyu.fi/handle/123456789/56743

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