Big Data Mining and Analytics

期刊简介：Big data are datasets whose size is beyond the ability of commonly used algorithms and computing systems to capture, manage, and process the data within a reasonable time.Big Data Mining and Analytics discovers hidden patterns, correlations, insights and knowledge through mining and analyzing large amounts of data obtained from various applications.Big data come from many applications such as social media, sensors, Internet of Things, scientific applications, surveillance, video and image archives. With today’s technology in storage and computing and many newly invented statistical methods, data mining and machine learning algorithms such as deep learning, it is possible to analyze data and get good answers from them quickly.Big Data Mining and Analytics addresses the most innovative developments, research issues and solutions in big data research and their applications.

【译文】大数据是指其规模超出常用算法和计算系统在合理时间内捕获、管理和处理数据的能力的数据集。大数据挖掘和分析通过挖掘和分析从各种应用程序获得的大量数据来发现隐藏的模式、相关性、见解和知识。大数据来自社交媒体、传感器、物联网、科学应用、监控、视频和图像档案等许多应用程序。借助当今的存储和计算技术以及许多新发明的统计方法、数据挖掘和机器学习算法（例如深度学习），可以分析数据并快速从中获得良好的答案。大数据挖掘和分析解决了大数据研究及其应用中最具创新性的发展、研究问题和解决方案。