大数据管理:概念,技术与挑战 Page 1 大数据管理:概念,技术与挑战 孟小峰慈祥 (中国人民大学信息
学院北京100872) Big Data Management: Concepts, Techniques and Challenges Meng …

With the widespread adoption of the Internet of Things (IoT), the number of connected
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …

Recent technological advancements have led to a deluge of data from distinctive domains
(eg, health care and scientific sensors, user-generated data, Internet and financial …

Abstract Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both
research and industrial communities that allow expressing and processing distributed …

As new data and updates are constantly arriving, the results of data mining applications
become stale and obsolete over time. Incremental processing is a promising approach to …

An important property of today's big data processing is that the same computation is often
repeated on datasets evolving over time, such as web and social network data. While …

One of the key challenges in big data technology is the velocity at which the data is
processed. Hadoop, an open-source software framework, is the dominant technology to …

Memes influence the behaviours, perceptions and actions of the people they spread to, both
consciously and unconsciously. The production of memes and memetic behaviours are …

With the continuous development of the Internet and information technology, more and more
mobile terminals, wear equipment etc. contribute to the tremendous data. Thanks to the …