Search
Now showing items 1-8 of 8
A pattern-aware method for maximal fuzzy supplement frequent pattern mining
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Advanced pattern mining to extract the hidden but useful information by using proper structure is vital important for efficient information mining in large-scale practical datasets. The existing algorithms have not been ...
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 ...
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 ...
An Improvement of Support Vector Machine Imputation Algorithm Based on Multiple Iteration and Grid Search Strategies
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Data missing is a vitally important issue that influences the classification results in medical field. This paper proposes an improved support vector machine (SVM) imputation algorithm by using strategies of pre-imputation, ...
A Fitted Fuzzy-rough Method for Missing Data Imputation
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Missing data imputation is a fundamental task for reducing uncertainty and vagueness in medical dataset. Fuzzyrough set has taken very important role to accurate representation original information. This paper proposes ...
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 ...
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 ...
The Implementation of A Crop Diseases APP Based on Deep Transfer Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Classifying the severity of crop diseases is the staple-basic element of the plant pathology for making disease prevent and control strategies. The diagnosis of disease needs timeliness and accuracy. Thanks to the development ...