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In this heterogeneous and distributed environment, resource allocation is very important. Hence, scheduling will be a challenge to increase productivity and allocate resources appropriately to the tasks. We schedule tasks in fog computing devices based on classification data mining technique. A key contribution is that a novel classification mining algorithm I\u2010Apriori is proposed based on the Apriori algorithm. Another contribution is that we propose a novel task scheduling model and a TSFC (Task Scheduling in Fog Computing) algorithm based on the I\u2010Apriori algorithm. Association rules generated by the I\u2010Apriori algorithm are combined with the minimum completion time of every task in the task set. Furthermore, the task with the minimum completion time is selected to be executed at the fog node with the minimum completion time. We finally evaluate the performance of I\u2010Apriori and TSFC algorithm through experimental simulations. The experimental results show that TSFC algorithm has better performance on reducing the total execution time of tasks and average waiting time.<\/jats:p>","DOI":"10.1155\/2018\/2102348","type":"journal-article","created":{"date-parts":[[2018,8,1]],"date-time":"2018-08-01T23:33:13Z","timestamp":1533166393000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":71,"title":["A Task Scheduling Algorithm Based on Classification Mining in Fog Computing Environment"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5612-8914","authenticated-orcid":false,"given":"Lindong","family":"Liu","sequence":"first","affiliation":[]},{"given":"Deyu","family":"Qi","sequence":"additional","affiliation":[]},{"given":"Naqin","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Yilin","family":"Wu","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2018,8]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"crossref","unstructured":"RahbariD. 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