Research on Hotspot Discovery of Academic Resources based on Hadoop

Abstract

In view of the situation that user can not access timely and accurately to the current research hotspot, this paper proposes a hotspot of academic resources discovery method, which aims to combine the map-reduce function of Hadoop with the text clustering technology based on DBSCAN, and to realize hotspot discovery of academic resources in distributed environment. By comparing the efficiency of hotspot discovery of academic resources in the single centralized architecture management environment, the efficiency and rationality of Hadoop-based hotspot discovery of academic resources is proved.