A Novel Analytics-as-a-Service System for Fuzzy Big Data

摘要

Analytics-as-a-Service (AaaS) has become an important discipline in recent years. Many researchers are concerning more about collecting, collating, storing, and analyzing big data. This study aims to apply the theory of high-level fuzzy Petri nets (HLFPN) to the big data analysis platform. The platform can be applied to describe the analytical contents through natural language and to verify analytical processes by module. Also, it can be employed to generate Map/Reduce programs automatically and to be used for parallel computation, thus shortening analysis time. Finally, the experiments are successfully conducted to demonstrate the feasibility of our proposed approach.