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An Improved HotSpot Algorithm and Its Application to Sandstorm Data in Inner Mongolia
Joint Authors
Qing-dao-er-ji, Ren
Pang, Rui
Chang, Yue
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
HotSpot is an algorithm that can directly mine association rules from real data.
Aiming at the problem that the support threshold in the algorithm cannot be set accurately according to the actual scale of the dataset and needs to be set artificially according to experience, this paper proposes a dynamic optimization algorithm with minimum support threshold setting: S_HotSpot algorithm.
The algorithm combines simulated annealing algorithm with HotSpot algorithm and uses the global search ability of simulated annealing algorithm to dynamically optimize the minimum support in the solution space.
Finally, the Inner Mongolia sandstorm dataset is used for experiment while the wine quality dataset is used for verification, and the association rules screening indicators are set for the mining results.
The results show that S_HotSpot algorithm can not only dynamically optimize the selection of support but also improve the quality of association rules as it is mining reasonable number of rules.
American Psychological Association (APA)
Qing-dao-er-ji, Ren& Pang, Rui& Chang, Yue. 2020. An Improved HotSpot Algorithm and Its Application to Sandstorm Data in Inner Mongolia. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1194880
Modern Language Association (MLA)
Qing-dao-er-ji, Ren…[et al.]. An Improved HotSpot Algorithm and Its Application to Sandstorm Data in Inner Mongolia. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1194880
American Medical Association (AMA)
Qing-dao-er-ji, Ren& Pang, Rui& Chang, Yue. An Improved HotSpot Algorithm and Its Application to Sandstorm Data in Inner Mongolia. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1194880
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194880