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A review on data stream classification approaches
2016
Journal of Advanced Computer Science & Technology
<p>Stream data is usually in vast volume, changing dynamically, possibly infinite, and containing multi-dimensional features. The attention towards data stream mining is increasing as regards to its presence in wide range of real-world applications, such as e-commerce, banking, sensor data and telecommunication records. Similar to data mining, data stream mining includes classification, clustering, frequent pattern mining etc. techniques; the special focus of this paper is on classification
doi:10.14419/jacst.v5i1.5225
fatcat:p6uhbyskwjbdpc5xoezpznctrq