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Student Alcohol Consumption

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See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/296695247

USING DATA MINING TO PREDICT SECONDARY
SCHOOL STUDENT ALCOHOL CONSUMPTION
Dataset · February 2016
DOI: 10.13140/RG.2.1.1465.8328

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2 authors:
Fabio Pagnotta

Hossain Amran

University of Camerino

University of Camerino

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USING DATA MINING TO PREDICT SECONDARY SCHOOL
STUDENT ALCOHOL CONSUMPTION
Fabio Pagnotta Mat:-093579

Mohammad Amran Hossain Mat:-093192

Department of Computer science, University of Camerino
Advanced Database
In this project, we use a data set about Portuguese student on two courses ( Mathematics and Portuguese ) which was collected and analysed by Paulo Cortez and Alice
Silva, University of Minho,Portugal. Our work intends to approach student addiction on alcohol in secondary level using business intelligence (BI) and Data Mining (DM) techniques. The result shows that a good predictive accuracy can be achieved, provided that addiction of alcohol can impact to the student performance. In addition,the result also provides the correlation between alcohol usage and the social, gender and study time attributes for each student. As a direct outcome of our project, more efficient prediction tools can be developed in order to pay more attention to the student and share how the alcohol impact so badly in his life.

Introduction
Alcohol had lots of bad impact in our life. Drinking too much on a single occasion or over time can take a serious toll on our health. If who drinks alcohol it’s likely

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