Adaptive internet of things and machine learning techniques for managing the complexity of intelligent systems big data

Abstract

The underlying concept of the Internet of Things 7 (IoT), several studies IoT will dramatically change 8 our daily life. It can be imagined that the era of the 9 Internet of Intelligent Systems will be coming to us 10 soon. The development of IoT, however, has reached 11 a crossroads. Without intelligence, IoT systems will 12 act as an ordinary information system the reactions 13 of which are based on a set of predefined rules. They 14 may not be the services we are looking for. Besides, 15 there is a growing awareness that the complexity of 16 managing Intelligent Systems Big Data is one of the 17 main challenges in the developing field of the Inter18 net of Things (IoT). Complexity arises from several 19 aspects of the Big Data life cycle, such as gather20 ing data, storing them onto cloud servers. Among 21 the intelligent technologies, how to handle the mas22 sive amount of data generated by the systems and 23 devices of the IoT has been widely considered. Many 24 technologies, such as data mining, big data analytics, 25 statistical and other analysis technologies, have also