交互式数据探索综述-计算机科学与探索-计算机工程与应用.PDF

ISSN 1673-9418 CODEN JKYTA8 E-mail: fcst@vip. 163.com Journal of Frontiers of Computer Science and Technology 1673-9418/2017/ 11(02)-0171-14 Tel: +86-10 doi: 10.3778/j.issn. 1673-9418.1606010 交互式数据探索综述* + 王蒙湘，李芳芳，谷 峪，于 戈 东北大学 计算机科学与工程学院 计算机科学系，沈阳 110819 Survey on Interactive Data Exploration WANG Mengxiang, LI fangfang, GU Yu, YU Ge+ Department of Computer Science, College of Computer Science and Engineering, Northeastern University, Shenyang 110819, China + Corresponding author: E-mail: yuge@ WANG Mengxiang, LI fangfang, GU Yu, et al. Survey on interactive data exploration. Journal of Frontiers of Computer Science and Technology, 2017, 11(2) ：171-184. Abstract: Large data sets have exceeded the scale of terabytes and petabytes, and existing techniques can collect and store massive information. While database management systems have been constantly improved to offer a variety of complex data management capabilities, but the query tools cannot satisfy the needs of large data, so how to precisely understand and explore the massive data set remains a huge challenge. The focus of interactive data exploration (IDE) is to emphasize interaction, exploration and discovery. Users will accurately find the information they need with the minimum cost in the vast amounts of data. Firstly, this paper introduces the IDE and its application background, sum- marizes the general model and features of IDE, and analyzes the present situation of the query technology and the opti- mization techniques for query results. Furthermore, this paper analyzes and compares IDE prototype systems re