Mobile Data Mining System based-on Cloud Computing








Abstract

With the emergence of big data and the development of mobile devices, mobile data mining has received more and more attention. It shows its unique advantages, but it also exposes its inability to handle large datasets efficiently. Based on the traditional mobile data mining project, we combined cloud computing and proposed and implemented the MobileWeka2 model based on cloud computing. In order to prove the feasibility of the model, we conducted different data mining experiments on multiple data sets. Experimental results show that this model can efficiently process large data sets and solve the problems of traditional mobile data mining.


Modules


Algorithms

Data Mining algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL