In the course of the operational programme «Competitiveness and Entrepreneurship», carried out under the auspices of the General Secretariat for Research and Technology of the Ministry of Education and Religious Affairs, the National University of Athens participated in the elaboration of the project “Development of Interface of Predictive Analysis Platform Using Live Big Data” with the acronym “PREDMINE”.

The platform was implemented for use in the field of insurance risk management, takes advantage of the benefits of predictive analysis, text mining and big data processing from insurance companies or from open data online, aimed at accident prediction and proper pricing / preparation of insurance contract. At the same time, new methods and data classif
ication approaches are developed, along with pattern identification, risk assessment and prediction of the driver’s behavior.

With the development of this platform, complex processes are simplified, resulting in the ability of the insurance companies to gain key competitive advantage (see. operating costs related to the customer base, market position, etc.) without any prerequisite specialized knowledge, as the platform runs as a fully automated system. More precisely, the platform enables the insurance sector companies to create predictive models and use them in order to process large amounts of data with ease and precision.

The final product is a comprehensive predictive analytics solution that supports advanced machine learning algorithms and classification based on existing open source libraries, such as «Apache», «Mahout» and «R», automatic data extraction techniques and text mining, as well as management and big data processing tools based on the environment «Hadoop».

The project «PREDMINE» was elaborated by the cooperation of the Laboratory of New Technologies in Communication, Education and Mass Media (Faculty of Communication and Media Studies, National University of Athens [UoA NTLab]), PEC Enterprises SA (Greece) and Kinor Technologies (Israel) .

More information available at: https://predmine.eu/ [ info@predmine.eu ]