A skyline query processing approach over interval uncertain data stream with K-means clustering technique

Dzolkhifli, Zarina and Ibrahim, Hamidah and Sidi, Fatimah and Affendey, Lilly Suriani and Mohd Rum, Siti Nurulain and Alwan, Ali Amer (2019) A skyline query processing approach over interval uncertain data stream with K-means clustering technique. In: The Eleventh International Conference on Advances in Databases, Knowledge, and Data Applications, 2 - 6 June 2019, Athens, Greece.

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Abstract

Skyline query processing which extracts a set of interesting objects from a potentially large multidimensional dataset has attracted significant research attention in many emerging important applications. Although skyline computation has been studied extensively for data streams, there has been relatively less work on uncertain data stream. Only recently, a few methods have been proposed to process uncertain data stream, however data uncertainty in these works is restricted to objects having many instances. In contrast, there is no work that has considered uncertainty due to objects having interval values wherein the exact values of the objects are not known at the point of processing. Hence, in this paper a skyline query processing approach utilising the K-Means clustering technique is proposed to efficiently compute skyline over interval uncertain data stream.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	7094/80766
Uncontrolled Keywords:	Database Systems, Query Processing, Data Stream
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	DR. ALI A. ALWAN AL-JUBOORI
Date Deposited:	24 Jun 2020 15:37
Last Modified:	13 Jul 2020 14:27
URI:	http://irep.iium.edu.my/id/eprint/80766

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