Research hotspots and trends in data mining: From 1993 to 2016

Abstract

Data mining, which is also referred to as knowledge discovery in databases, means a process of nontrivial extraction of implicit, previously unknown and potentially useful information from data in databases. This paper was to explore a Bibliometric approach to quantitatively assessing current research hotspots and trends on Data Mining, using the related literature in the Science Citation Index (SCI) database from 1993 to 2016. It shows that the research of Data Mining in 2016 was in the mature period with a maturity of 85.55%, the total of 11071 articles covered 131 countries(regions) and Top 3 countries(regions) were USA(2311, 21.37%), China(1474, 13.63%) and Taiwan (904, 8.36%). In addition, Top 10 keywords are found to have citation bursts: big data, social network, particle swarm optimization, data warehouse, gene expression, self-organizing map, intrusion detection, recommender system, bioinformatics, svm. This study provided scholars in the data mining research, as well as research hotspots and future research directions.