Frequent Pattern Mining Algorithms for Finding Associated Frequent Patterns for Data Streams: A Survey
Article
Nasreen, Shamila, Azam, Muhammad Awais, Shehzad, Khurram, Naeem, U. and Ghazanfar, Mustansar Ali 2014. Frequent Pattern Mining Algorithms for Finding Associated Frequent Patterns for Data Streams: A Survey. Procedia Computer Science. 37, pp. 109-116.
Authors | Nasreen, Shamila, Azam, Muhammad Awais, Shehzad, Khurram, Naeem, U. and Ghazanfar, Mustansar Ali |
---|---|
Abstract | Pattern recognition is seen as a major challenge within the field of data mining and knowledge discovery. For the |
Journal | Procedia Computer Science |
Journal citation | 37, pp. 109-116 |
ISSN | 1877-0509 |
Year | 2014 |
Publisher | Elsevier |
Publisher's version | License CC BY-NC-ND |
Web address (URL) | http://dx.doi.org/10.1016/j.procs.2014.08.019 |
Publication dates | |
17 Sep 2014 | |
Publication process dates | |
Deposited | 29 Sep 2014 |
Copyright information | © 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). |
Additional information | Paper presented at The 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014) September 22-25, 2014, Halifax, Nova Scotia, Canada |
https://repository.uel.ac.uk/item/858y8
Download files
304
total views240
total downloads0
views this month0
downloads this month