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What is Single Classifier

Chapter 18
Handbook of Research on Pattern Engineering System Development for Big Data Analytics
It consists of only one classifier of any time for classifying the data.
Published in Chapter:
Overview of Concept Drifts Detection Methodology in Data Stream
Shabina Sayed (Jodhpur National University, India), Shoeb Ahemd Ansari (Shri Jagadish Prasad Jabnormal Tibrewala University, India), and Rakesh Poonia (Bikaner Government College of Engineering, India)
Copyright: © 2018 |Pages: 8
DOI: 10.4018/978-1-5225-3870-7.ch018
Abstract
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.
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