文章基本信息

标题：Machine to Machine (M2M) Open Data System for Business Intelligence in Products Massive Distribution oriented on Big Data
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作者：Angelo Galiano ; Alessandro Massaro ; Donato Barbuzz 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：3
页码：1332-1336
出版社：TechScience Publications
摘要：In this work we present useful Graphical UserInterfaces (GUIs) suitable for clustering, classification, andsales predictions of the “Grande Distribuzione Organizzata”GDO (major multiples/large-scale retail channel, chainstore/mass distribution) products. This Open Data Machine toMachine (M2M) system combines all products, provided bothfrom an open scenario and from a proprietary database, inorder to cluster and to classify new data for the creating ofpredictive rules. The experimental results, carried out onmassive simulated data, demonstrate the efficacy of GUIs forthe application of Business Intelligence rules.For the purpose, the massive data are stored by means ofCassandra DB a Big Data System. Instead, the GUIsimplementation, related to the main tasks of MachineLearning, are designed in Orange tool. Finally, the predictionresults are validated respect to most know tool in literature:Weka.
关键词：GDO; Machine to Machine Systems; Data mining;GUI; Prediction; DBMS; Big Data.