期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：94
期号：1
出版社：Journal of Theoretical and Applied
摘要：Since the appearance of the web 2.0, several new concepts have emerged like social networks which generate big data, characterized by a difficult treatment using traditional administration tools. Though, they represent a rich resource of information that we can use as the basis for decisions to help managers which are always complaining about the time taken to get answers to questions in order to make decisions, and also about the quality of these decisions. In the decision-making task, the most important besides treating the data, especially big data, is to analyze and interpret the results of the treatment in a way to maximize the profit in terms of business management logic. So, we propose in this paper a process-oriented business architecture, founded on users� interests, by analyzing tweets as an example of big data, for decision-making purposes, dealing with the practical functions of text mining. The business orientation of the analysis helps us to get conscious decisions which are more significant and closely adequate to the needs of the enterprise.
关键词：Decision Making; Big Data; Data Analysis; Process-oriented; Correlation
