Browsing Computer Science & Engineering by Author "Wang, Tao"
Now showing items 1-8 of 8
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An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data
Ren, Lijuan; Seklouli, Aicha Sekhari; Zhang, Haiqing; Wang, Tao; Bouras, Abdelaziz ( Elsevier , 2023 , Article)As the application of information technology in the medical field is resulting in a large amount of medical data. As early withdrawal and refusal of participants, there are a lot of missing values in medical data. Although ... -
Detecting the greedy spectrum occupancy threat in cognitive radio networks
Ma, Songjun; Peng, Yunfeng; Wang, Tao; Gan, Xiaoying; Yang, Feng; Wang, Xinbing; Guizani, Mohsen... more authors ... less authors ( IEEE Computer Society , 2014 , Conference Paper)Recently, security of cognitive radio (CR) is becoming a severe issue. There is one kind of threat, which we call greedy spectrum occupancy threat (GSOT) in this paper, has long been ignored in previous work. In GSOT, a ... -
Hesitant extension of fuzzy-rough set to address uncertainty in classification
Zhang, Haiqing; Li, Daiwei; Wang, Tao; Li, Tianrui; Yu, Xi; Bouras, Abdelaziz... more authors ... less authors ( IOS Press , 2018 , Article)Although fuzzy rough sets have been considered as a powerful theory to handle real-valued data with uncertainty, fuzzy rough sets based algorithms reached their limit of conveying hesitation information in the processes ... -
Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set
Li, Daiwei; Zhang, Haiqing; Li, Tianrui; Bouras, Abdelaziz; Yu, Xi; Wang, Tao... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In real cases, missing values tend to contain meaningful information that should be acquired or should be analyzed before the incomplete dataset is used for machine learning tasks. In this work, two algorithms named jointly ... -
Hypertension Prediction Using Optimal Random Forest and Real Medical Data
Ren, Lijuan; Seklouli, Aicha Sekhari; Wang, Tao; Zhang, Haiqing; Bouras, Abdelaziz ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Long-lasting and difficult-to-treat, hypertension frequently leads to serious and life-threatening diseases. As a result, early risk assessment and prevention of hypertension are crucial. The majority of research currently ... -
Maximal fuzzy supplement frequent pattern mining based on advanced pattern-aware dynamic search strategy and an effective FSFP-array technique
hang, Haiqing; Wang, Tao; Li, Daiwei; Bouras, Abdelaziz; Xiong Xi; Qiao, Shaojie... more authors ... less authors ( IOS Press , 2018 , Article)The proper expression of the potentially useful but hidden information in large-scale datasets via using proper structure is vital important in both theory and applications of advanced pattern mining. The fundamental ... -
Stacking-based multi-objective ensemble framework for prediction of hypertension
Ren, Lijuan; Zhang, Haiqing; Sekhari Seklouli, Aicha; Wang, Tao; Bouras, Abdelaziz ( Elsevier , 2023 , Article)Hypertension is a common health problem that is costly to treat, difficult to control, and frequently results in serious and fatal disorders like cardiovascular disease (CVD) and stroke. The main objective of this work was ... -
Uncertainty and Equivalence Relation Analysis for Hesitant Fuzzy-Rough Sets and Their Applications in Classification
Zhang, Haiqing; Li, Daiwei; Wang, Tao; Li, Tianrui; Yu, Xi; Bouras, Abdelaziz... more authors ... less authors ( IEEE Computer Society , 2019 , Article)The fusion of hesitant fuzzy set (HFS) and fuzzy-rough set (FRS) is explored and applied into the task of classification due to its capability of conveying hesitant and uncertainty information. In this paper, on the basis ...