| 大数据实时交互式分析 |
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| 引用本文： | 袁喆,文继荣,魏哲巍,刘家俊,姚斌,郑凯.大数据实时交互式分析[J].软件学报,2020,31(1):162-182. |
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| 作者姓名： | 袁喆 文继荣 魏哲巍 刘家俊 姚斌 郑凯 |
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| 作者单位： | 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 |
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| 基金项目： | 国家自然科学基金（61832017）；北京高校卓越青年科学家计划（BJJWZYJH01201910002009）；国家自然科学基金（61972401，61932001，61602487，61922054，61872235，61729202，U1636210，61972069，61836007，61532018）；国家重点研发计划（2018YFC1504504，2016YFB0700502） |
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| 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.
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| 关 键 词： | 实时交互式分析 跨模态数据 近似查询处理 |
| 收稿时间： | 2018/9/14 0:00:00 |
| 修稿时间： | 2019/6/13 0:00:00 |
Real-time Interactive Analysis on Big Data |
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| YUAN Zhe,WEN Ji-Rong,WEI Zhe-Wei,LIU Jia-Jun,YAO Bin and ZHENG Kai.Real-time Interactive Analysis on Big Data[J].Journal of Software,2020,31(1):162-182. |
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| Authors: | YUAN Zhe WEN Ji-Rong WEI Zhe-Wei LIU Jia-Jun YAO Bin and ZHENG Kai |
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| Affiliation: | School of Information, Renmin University of China, Beijing 100872, China,School of Information, Renmin University of China, Beijing 100872, China,School of Information, Renmin University of China, Beijing 100872, China,School of Information, Renmin University of China, Beijing 100872, China,Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Sichuan 610054, China |
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| Abstract: | Real-time interactive analysis focuses on multi-object and multi-perspective analysis tasks. By employing a multiple user-database 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, we provide comprehensive review on the theoretical foundation, data models and systems of the real-time interactive analysis. |
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| Keywords: | Real-time Interactive Analysis Cross-Modal Data Approximate Query Processing |
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