Research on data resource management of biomass energy engineering based on data mining

Abstract

In order to improve the information management level of biomass energy industry, it is necessary to build and improve the data resource management platform of biomass energy engineering, so as to grasp the detailed operation status and production situation of biomass energy engineering in real time. In this paper, the data mining concept and technology based on Hadoop are applied to the construction of data resource management platform of biomass energy engineering, which solves the difficult problems of mass data collection, storage, processing and analysis of biomass energy. The bottleneck of Apriori algorithm in processing big data lies in the high time complexity. Aiming at this shortcoming of Apriori, this paper combines Apriori algorithm with Hadoop framework, and combine Apriori algorithm with Hadoop framework, and test the data mining of Apriori algorithm after combination. Results The test realized the optimal design of storage mode of massive database, and the performance of Apriori algorithm was improved by 40% compared with traditional Apriori algorithm.