领域跨越:数据挖掘的应用和发展趋势

Cross-domain Applications and Development Trend of Data Mining

随着网络和信息技术的不断普及,非结构化、半结构化数据正在爆发式地增长,这些数据早已经远远超越了目前人力所能处理的范畴。数据挖掘技术的重要性在处理和分析数据量巨大、数据类型丰富、增长迅速的大数据时日益凸显。近几年数据挖掘技术的研究有着诸多新进展,在信息管理学科的应用与发展也不断深化。本文以iConference 2017所收录的11篇会议论文为研究样本,结合近三年国内外相关研究文献,以数据挖掘采用的方法来分类探讨数据挖掘在商业智能、医药卫生、学术文献、社交媒体等领域的应用,通过对应用中出现问题和相应的解决方法的分析与总结,归纳出数据挖掘在信息社区的应用与发展。

With the development of network and information technology, unstructured and semi-structured data are explo- sively growing. These kinds of data are too huge to handle for manpower. The importance of data mining techniques in pro- cessing and analyzing data that has large quantities, rich types and rapid growth, is significantly increasing. In recent years, the study of data mining has many new developments, and the applications in information management discipline have been deepened. Taking 11 conference papers of iConference 2017 as the research sample and combining with native and foreign related literatures, we analyzes the application of data mining in the field of business, medicine ＆ health academic research, and social media by using the corresponding methods of data mining. This paper sums up the application and development of data mining in information community based on the study of the problems and corresponding solutions.