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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

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Number of items: 5.


Onyancha, Julius and Plekhanova, Valentina (2018) ‘Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests'. International Journal of Information and Education Technology, 12 (1). pp. 7-14. ISSN 2010-3689

Book Section

Onyancha, Julius, Plekhanova, Valentina and Nelson, David (2018) Learning Noise in Web Data Prior to Elimination. In: Transactions on Engineering Technologies: 25th World Congress on Engineering (WCE 2017). Springer. ISBN 9789811307461

Onyancha, Julius, Plekhanova, Valentina and Nelson, David (2017) Noise Web Data Learning from a Web User Profile: Position Paper. In: , Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering 2017 Volume II. IAENG, pp. 608-611. ISBN 9789881404831

Conference or Workshop Item

Onyancha, Julius and Plekhanova, Valentina (2018) A user-centric approach towards learning noise in web data. In: 12th International Conference on Intelligent Systems and Knowledge Control, 24-26 Nov 2017, Nanjing, Jiangsu.


Onyancha, Julius (2019) Learning Noise Web Data Prior to Elimination: Classification of Dynamic Web User Interests. Doctoral thesis, University of Sunderland.

This list was generated on Sat Apr 13 10:59:41 2024 BST.