Real-time Interactive Analysis on Big Data
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Clc Number:

TP311

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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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    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.

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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.软件学报,2020,31(1):162-182

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History
  • Received:September 14,2018
  • Revised:June 13,2019
  • Adopted:
  • Online: November 07,2019
  • Published: January 06,2020
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