A Review on Data Stream Classification

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-bin...

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Main Authors:	A. A., Haneen, Noraziah, Ahmad, Mohd Helmy, Abd Wahab
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2018
Subjects:	Z665 Library Science. Information Science
Online Access:	http://umpir.ump.edu.my/id/eprint/24879/ http://umpir.ump.edu.my/id/eprint/24879/ http://umpir.ump.edu.my/id/eprint/24879/1/Haneen_2018.pdf

id	ump-24879
recordtype	eprints
spelling	ump-248792019-10-30T08:34:21Z http://umpir.ump.edu.my/id/eprint/24879/ A Review on Data Stream Classification A. A., Haneen Noraziah, Ahmad Mohd Helmy, Abd Wahab Z665 Library Science. Information Science 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. IOP Publishing 2018 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/24879/1/Haneen_2018.pdf A. A., Haneen and Noraziah, Ahmad and Mohd Helmy, Abd Wahab (2018) A Review on Data Stream Classification. In: Journal of Physics: Conference Series, 1st International Conference on Big Data and Cloud Computing (ICoBiC) 2017, 25-27 November 2017 , Kuching, Sarawak, Malaysia. pp. 1-8., 1018 (012019). ISSN 1742-6596 https://doi.org/10.1088/1742-6596/1018/1/012019
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	Z665 Library Science. Information Science
spellingShingle	Z665 Library Science. Information Science A. A., Haneen Noraziah, Ahmad Mohd Helmy, Abd Wahab A Review on Data Stream Classification
description	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.
format	Conference or Workshop Item
author	A. A., Haneen Noraziah, Ahmad Mohd Helmy, Abd Wahab
author_facet	A. A., Haneen Noraziah, Ahmad Mohd Helmy, Abd Wahab
author_sort	A. A., Haneen
title	A Review on Data Stream Classification
title_short	A Review on Data Stream Classification
title_full	A Review on Data Stream Classification
title_fullStr	A Review on Data Stream Classification
title_full_unstemmed	A Review on Data Stream Classification
title_sort	review on data stream classification
publisher	IOP Publishing
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/24879/ http://umpir.ump.edu.my/id/eprint/24879/ http://umpir.ump.edu.my/id/eprint/24879/1/Haneen_2018.pdf
first_indexed	2023-09-18T22:37:54Z
last_indexed	2023-09-18T22:37:54Z
_version_	1777416718764736512

A Review on Data Stream Classification

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