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A Review on Data Stream Classification

Haneen, A. A. and Noraziah, Ahmad and Abdulla Fairuzullah, Ahmad Tajuddin and Mohd Helmy, Abdul Wahab (2017) A Review on Data Stream Classification. In: 1st International Conference on Big Data and Cloud Computing (ICOBIC 2017), 25-26 November 2017 , Kuching, Sarawak, Malaysia. pp. 1-7..

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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 database, statistics, and computer science. In fact, data streams refer to some data point 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. In fact, some of the typical tasks of searching data have been linked to streams of data, which are inclusive of clustering, classification, and repeated mining of pattern. As such, this particular study looks into several data stream clustering approach, 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: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Clustering, Data Mining, Data Streams, Clustering, Computational Intelligence
Subjects: T Technology > TN Mining engineering. Metallurgy
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: PM Dr. Noraziah Ahmad
Date Deposited: 24 Sep 2018 07:43
Last Modified: 24 Sep 2018 07:43
URI: http://umpir.ump.edu.my/id/eprint/19899
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