Journal of Software:2020.31(1):162-182

(中国人民大学 信息学院, 北京 100872;上海交通大学 计算机科学与工程系, 上海 200240;电子科技大学 计算机科学与工程学院, 四川 成都 610054)
Real-time Interactive Analysis on Big Data
YUAN Zhe,WEN Ji-Rong,WEI Zhe-Wei,LIU Jia-Jun,YAO Bin,ZHENG Kai
(School of Information, Renmin University of China, Beijing 100872, China;Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China;School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China)
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Received:September 14, 2018    Revised:June 13, 2019
> 中文摘要: 实时交互式分析针对多目标和多角度的分析任务,通过多轮次的用户-数据库交互过程,逐步明确分析任务与分析目标,全方位地了解相关领域信息,最终得到科学的、全面的分析结果.相比传统数据库“提交查询-返回结果”的单轮次交互查询方式,实时交互式分析更强调交互的实时性与查询结果的时效性.对实时交互式分析的研究已成为近几年研究的热点.针对当前实时交互式分析面临的若干关键问题,对现有的实时交互式分析研究的理论基础、数据模型与系统构架进行了综述.
Abstract:Real-time interactive analysis focuses on multi-object and multi-perspective analysis tasks. By employing a multiple userdatabase interaction process, interactive analysis is able to provide a more comprehensive understanding of the analytic task. Comparing to traditional database where queries are issued and answered in a single interaction, interactive analysis emphasizes on the responses time of the query and timeliness of the results. Real-time interactive analysis has been extensively studied in recently years. In this survey, comprehensive review is provided on the theoretical foundation, data models, and systems of the real-time interactive analysis.
文章编号:     中图分类号:TP311    文献标志码:
基金项目:国家自然科学基金(61832017,61972401,61932001,61602487,61922054,61872235,61729202,U1636210,61972069,61836007,61532018);北京高校卓越青年科学家计划(BJJWZYJH01201910002009);国家重点研发计划(2018YFC1504504,2016YFB0700502) 国家自然科学基金(61832017,61972401,61932001,61602487,61922054,61872235,61729202,U1636210,61972069,61836007,61532018);北京高校卓越青年科学家计划(BJJWZYJH01201910002009);国家重点研发计划(2018YFC1504504,2016YFB0700502)
Foundation items:National Natural Science Foundation of China (61832017, 61972401, 61932001, 61602487, 61922054, 61872235,61729202, U1636210, 61972069, 61836007, 61532018); Beijing Outstanding Young Scientist Program (BJJWZYJH01201910002009);National Key Research and Development Program of China (2018YFC1504504, 2016YFB0700502)
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YUAN Zhe,WEN Ji-Rong,WEI Zhe-Wei,LIU Jia-Jun,YAO Bin,ZHENG Kai.Real-time Interactive Analysis on Big Data.Journal of Software,2020,31(1):162-182