السجلات المعروضة 1 -- 9 من 9
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An adaptive Laplacian weight random forest imputation for imbalance and mixed-type data
( 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 ... -
Correlations between socioeconomic drivers and indicators of urban expansion: Evidence from the heavily urbanised Shanghai metropolitan area, China
( MDPI AG , 2017 , Article)Rapid urban expansion resulting in increased impervious surfaces causes a series of urban environmental problems, e.g., the urban heat island and urban forest fragmentation. Urban expansion is a serious threat to human ... -
Detecting the greedy spectrum occupancy threat in cognitive radio networks
( 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
( 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
( 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
( 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
( 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
( 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
( 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 ...
