Overview of Concept Drifts Detection Methodology in Data Stream
Shabina Sayed, Shoeb Ahemd Ansari, Rakesh Poonia · Advances in systems analysis, software engineering, and high performance computing book series · 2018
Real-time online applications and mobile data generate huge volume of data. There is a need to process this data into compact data structures and extract meaningful information. A number of approaches have been proposed in literature to overcome the issues of data stream mining. This chapter summarizes various issues and application techniques. The chapter is a guideline for research to identify the research issues and select the most appropriate method in order to detect and process novel class.