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Title
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Analysis of Clustering Uncertain Data and Uncertain Data Stream
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Author
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Rao Sohail Iqbal, Ghulam Ali, Muhammad Ramzan Talib, Muhammad Awais, Shagufta Naz, Bilal Zahid, Muhammad Rehman Shahid and Muhammad Ahmad Nazir
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Citation |
Vol. 24 No. 10 pp. 147-153
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Abstract
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The problem of handling uncertain data has been attracting the attention of researchers. This paper mainly focuses on uncertain data clustering and noise data streams. Therefore, we will provide a framework to realize the effect of uncertainty. Nowadays, a large number of tenders are present which measure the data roughly. As, sensors normally have distortion in their results cause of the imprecisions transmission in data and retrieval. Mostly these errors are identified. This information is used for minimizing process to advance results according to quality. In this paper, we compare general methods of monitor uncertainty, which have described in the different research papers.
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Keywords
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Umicro clustering, Clue Stream, ELKI, SynDrift, Network Intrusion Detection, Error level, uncertain data.
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URL
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http://paper.ijcsns.org/07_book/202410/20241017.pdf
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