A review on classification of imbalanced data for wireless sensor networks
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DOI: 10.1177/1550147720916404
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References listed on IDEAS
- Dharmendra Singh Rajput, 2019. "Review on recent developments in frequent itemset based document clustering, its research trends and applications," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 11(2), pages 176-195.
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- Xiang Yin & Kaiquan Zhang & Bin Li & Arun Kumar Sangaiah & Jin Wang, 2018. "A task allocation strategy for complex applications in heterogeneous cluster–based wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 14(8), pages 15501477187, August.
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- Hong Zhang & Shigen Shen & Qiying Cao & Xiaojun Wu & Shaofeng Liu, 2020. "Modeling and analyzing malware diffusion in wireless sensor networks based on cellular automaton," International Journal of Distributed Sensor Networks, , vol. 16(11), pages 15501477209, November.
- Minati, Ludovico & Li, Chao & Bartels, Jim & Chakraborty, Parthojit & Li, Zixuan & Yoshimura, Natsue & Frasca, Mattia & Ito, Hiroyuki, 2023. "Accelerometer time series augmentation through externally driving a non-linear dynamical system," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
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- Rupa Ch & Thippa Reddy Gadekallu & Mustufa Haider Abidi & Abdulrahman Al-Ahmari, 2020. "Computational System to Classify Cyber Crime Offenses using Machine Learning," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
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Keywords
Wireless sensor networks; data mining; imbalanced data; data balancing; algorithm modification; ensemble techniques;All these keywords.
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