Applying NoSQL Database in Data Mining Models for Educational Big Data

Abstract

Data mining models of education system is limited to relatively small scope of researches and analysis. In the information age, it is the vital issue to retrieve and processing available data in real time. The education system based on relational database has lack capabilities of processing real time data for its large volume and unstructured format. On the other side, NoSQL repositories have strong architecture, it can process big data efficiently in real time by using appropriate model. In this thesis, we proposed an improved model for data mining by NoSQL repositories and transformation of data from unstructured form to structured form using NoSQL technologies. Double view of big data collected in the database use data mining technology to retrieve required data. Appropriate process of query a database allows to effective retrieval of imported data for analytical systems. Data is available for analysis instantly after submitted by users. This model is suitable for any institutes or organizations, which have a large amount of data.