Isbn: 9786135802245 - low cost business intelligence systems using open source tools (6 risultati)

Paperback. Condizione: Brand New. 128 pages. 8.66x5.91x0.29 inches. In Stock.

Taschenbuch. Condizione: Neu. Low Cost Business Intelligence Systems Using Open Source Tools | Ahishakiye Emmanuel (u. a.) | Taschenbuch | 128 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786135802245 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 128 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Emmanuel AhishakiyeAhishakiye Emmanuel works as a graduate fellow in the department of computer science at Kyambogo University in Kampala, Uganda. He is a graduate of Msc. Computational Intelligence (UoN) and Bachelor of Information . …

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch.…