Low Cost Business Intelligence Systems Using Open Source Tools - Couverture souple

Emmanuel, Ahishakiye; Opiyo Omulo, Elisha; Wario, Ruth

 
9786135802245: Low Cost Business Intelligence Systems Using Open Source Tools
Couverture souple
ISBN 10 : 6135802240 ISBN 13 : 9786135802245
Editeur : LAP LAMBERT Academic Publishing, 2018

Synopsis

Due to the advancements in ICT, there’s huge amount of data amount of data collected in organizations and law enforcement agencies especially police is not an exception. Therefore this book explores how law enforcement agencies especially those in developing countries can utilize open source Business Intelligence tools to respond to the current issue of big data in their departments which can be utilized to assist them in making data driven decisions for crime management. The researchers developed a Business Intelligence System prototype using Apache Hadoop framework. Also, four different classification algorithms that is; decision tree (J48), Naïve Bayes, Multilayer Perceptron and Support Vector Machine were compared to find the most effective algorithm for crime prediction. The study used classification models generated using Waikato Environment for Knowledge Analysis (WEKA). Therefore, this study acts as the benchmark for the implementation of low cost business intelligence and predictive systems in organizations especially police by utilizing open source Business Intelligence tools.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Due to the advancements in ICT, there’s huge amount of data amount of data collected in organizations and law enforcement agencies especially police is not an exception. Therefore this book explores how law enforcement agencies especially those in developing countries can utilize open source Business Intelligence tools to respond to the current issue of big data in their departments which can be utilized to assist them in making data driven decisions for crime management. The researchers developed a Business Intelligence System prototype using Apache Hadoop framework. Also, four different classification algorithms that is; decision tree (J48), Naïve Bayes, Multilayer Perceptron and Support Vector Machine were compared to find the most effective algorithm for crime prediction. The study used classification models generated using Waikato Environment for Knowledge Analysis (WEKA). Therefore, this study acts as the benchmark for the implementation of low cost business intelligence and predictive systems in organizations especially police by utilizing open source Business Intelligence tools.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
6135802240
ISBN 13 
9786135802245
Reliure
Broché
Nombre de pages
128
Coordonnées du fabricant
non disponible
Personne responsable
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