Data Stream Clustering Techniques, Applications, and Models: Comparative Analysis and Discussion

Data Stream Clustering Techniques, Applications, and Models: Comparative Analysis and Discussion

Data growth in today’s world is exponential, many applications generate huge amount of data streams at very high speed such as smart grids, sensor networks, video surveillance, financial systems, medical science data, web click streams, network data, etc. In the case of traditional data mi...

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Bibliographic Details
Main Authors: Umesh Kokate, Arvind Deshpande, Parikshit Mahalle, Pramod Patil
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Big Data and Cognitive Computing
Subjects:
data stream
clustering techniques and algorithms
data mining
big data
Online Access:http://www.mdpi.com/2504-2289/2/4/32

Internet

http://www.mdpi.com/2504-2289/2/4/32

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