A review on data stream classification

A. A, Haneen and A., Noraziah and Abd Wahab, Mohd Helmy (2018) A review on data stream classification. Journal of Physics: Conference Series (JPCS), 1018. pp. 1-8. ISSN 1742-6588

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Abstract

At this present time, the significance of data streams cannot be denied as many researchers have placed their focus on the research areas of databases, statistics, and computer science. In fact, data streams refer to some data points sequences that are found in order with the potential to be non-binding, which is generated from the process of generating information in a manner that is not stationary. As such the typical tasks of searching data have been linked to streams of data that are inclusive of clustering, classification, and repeated mining of pattern. This paper presents several data stream clustering approaches, which are based on density, besides attempting to comprehend the function of the related algorithms; both semi-supervised and active learning, along with reviews of a number of recent studies.

Item Type:	Article
Uncontrolled Keywords:	Clustering; Data Mining; Data Streams; Computational Intelligence
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Divisions:	Faculty of Electrical and Electronic Engineering > Department of Electronic Enngineering
Depositing User:	Miss Afiqah Faiqah Mohd Hafiz
Date Deposited:	16 Nov 2021 04:00
Last Modified:	16 Nov 2021 04:00
URI:	http://eprints.uthm.edu.my/id/eprint/2893

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