微博数据管理系统:查询、分析和可视化

M. Mokbel, A. Magdy
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引用次数: 8

摘要

微博数据,如推文、评论、新闻评论、社交媒体评论等,近年来因其广受欢迎和内容丰富而备受关注。如今,微博应用涵盖了广泛的兴趣范围,包括分析事件和用户活动,以及发现健康问题和救援服务等关键应用。因此,主要的研究工作都花在管理、分析和可视化微博数据上,以支持不同的应用程序。在本教程中,我们将用1.5小时概述微博数据管理、分析、可视化和系统。本教程全面回顾了支持大规模微博查询的核心数据管理组件的研究。这包括系统层面的问题,以及通过正在兴起的大数据系统支持微博数据的持续工作。此外,本教程还回顾了微博数据分析和可视化方面的研究。通过其不同的部分,该教程突出了微博数据研究的挑战和机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microblogs Data Management Systems: Querying, Analysis, and Visualization
Microblogs data, e.g., tweets, reviews, news comments, and social media comments, has gained considerable attention in recent years due to its popularity and rich contents. Nowadays, microblogs applications span a wide spectrum of interests, including analyzing events and users activities and critical applications like discovering health issues and rescue services. Consequently, major research efforts are spent to manage, analyze, and visualize microblogs data to support different applications. In this tutorial, we give a 1.5 hours overview about microblogs data management, analysis, visualization, and systems. The tutorial gives a comprehensive review for research on core data management components to support microblogs queries at scale. This includes system-level issues and on-going work on supporting microblogs data through the rising wave of big data systems. In addition, the tutorial reviews research on microblogs data analysis and visualization. Through its different parts, the tutorial highlights the challenges and opportunities in microblogs data research.
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