文章基本信息

标题：Big Data and Specific Analysis Methods for Insurance Fraud Detection
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作者：Ramona BOLOGA ; Razvan BOLOGA ; Alexandra FLOREA 等
期刊名称：Database Systems Journal
电子版ISSN：2069-3230
出版年度：2013
卷号：IV
期号：4
页码：30-39
出版社：Bucharest Academy of Economic Studies Publishing House
摘要：Analytics is the future of big data because only transforming data into information gives them value and can turn data in business in competitive advantage. Large data volumes, their variety and the increasing speed their growth, stretch the boundaries of traditional data warehouses and ETL tools. This paper investigates the benefits of Big Data technology and main methods of analysis that can be applied to the particular case of fraud detection in public health insurance system in Romania.
关键词：Big Data; Social Networks; Data Mining; Fraud Detection