A skyline query processing approach over interval uncertain data stream with K-means clustering technique
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 rela...
| Main Authors: | , , , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
ThinkMind
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/80766/ http://irep.iium.edu.my/80766/7/80766%20A%20Skyline%20Query%20Processing%20Approach.pdf |
| _version_ | 1848789018108493824 |
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| author | Dzolkhifli, Zarina Ibrahim, Hamidah Sidi, Fatimah Affendey, Lilly Suriani Mohd Rum, Siti Nurulain Alwan, Ali Amer |
| author_facet | Dzolkhifli, Zarina Ibrahim, Hamidah Sidi, Fatimah Affendey, Lilly Suriani Mohd Rum, Siti Nurulain Alwan, Ali Amer |
| author_sort | Dzolkhifli, Zarina |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T17:50:02Z |
| format | Proceeding Paper |
| id | iium-80766 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T17:50:02Z |
| publishDate | 2019 |
| publisher | ThinkMind |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-807662020-07-13T06:27:14Z http://irep.iium.edu.my/80766/ A skyline query processing approach over interval uncertain data stream with K-means clustering technique Dzolkhifli, Zarina Ibrahim, Hamidah Sidi, Fatimah Affendey, Lilly Suriani Mohd Rum, Siti Nurulain Alwan, Ali Amer QA75 Electronic computers. Computer science QA76 Computer software 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. ThinkMind 2019 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/80766/7/80766%20A%20Skyline%20Query%20Processing%20Approach.pdf 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. https://www.thinkmind.org/index.php?view=article&articleid=dbkda_2019_4_10_58001 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Dzolkhifli, Zarina Ibrahim, Hamidah Sidi, Fatimah Affendey, Lilly Suriani Mohd Rum, Siti Nurulain Alwan, Ali Amer A skyline query processing approach over interval uncertain data stream with K-means clustering technique |
| title | A skyline query processing approach over interval uncertain data stream with K-means clustering technique |
| title_full | A skyline query processing approach over interval uncertain data stream with K-means clustering technique |
| title_fullStr | A skyline query processing approach over interval uncertain data stream with K-means clustering technique |
| title_full_unstemmed | A skyline query processing approach over interval uncertain data stream with K-means clustering technique |
| title_short | A skyline query processing approach over interval uncertain data stream with K-means clustering technique |
| title_sort | skyline query processing approach over interval uncertain data stream with k-means clustering technique |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://irep.iium.edu.my/80766/ http://irep.iium.edu.my/80766/ http://irep.iium.edu.my/80766/7/80766%20A%20Skyline%20Query%20Processing%20Approach.pdf |