Review of the Complexity of Managing Big Data of the Internet of Things

Table 5

The table summarizes and refers to a representative set of papers focusing on Machine Learning and Data Mining in the context of Big Data.

Reference	Title of paper	Description/Objective
[4]	Big data: A survey	This paper discusses technical challenges and reviews advances of the value chain (data generation, data acquisition, data storage, and data analysis) of Big Data
[80]	Data mining with big data	A HACE theorem that characterizes features of the Big Data revolution is presented, and a Big Data processing model, from a Data Mining perspective, is proposed in this paper.
[81]	Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners	A look into how to leverage Big Data analytics efficiently in order to foster positive change.
[82]	Mining Big Data: current status, and forecast to the future	This paper forecasts the future and presents the current status and controversies when it comes to some of the most interesting state-of-the-art topics in Big Data Mining.
[83]	Complex Power System Status Monitoring and Evaluation Using; Big Data Platform and Machine Learning Algorithms: A Review and a Case Study	This paper reviews intelligent machine learning methods for complex power systems and key technologies in Big Data management.
[84]	Mining Outlier Data in Mobile Internet-Based Large Real-Time Databases	In this paper a novel mining outlier data method for analysing real-time data features is presented.