2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)最新文献

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A new Diagnosis using a Parkinson's Disease XGBoost and CNN-based classification model Using ML Techniques 基于ML技术的帕金森病XGBoost和基于cnn的分类模型的新诊断

2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) Pub Date : 2022-03-04 DOI: 10.1109/ICACTA54488.2022.9752867

Anil Kumar N, Bhavini Rajendrakumar Bhatt, P. Anitha, Ajay Kumar Yadav, K. Devi, Vivek Joshi

引用次数: 9

A Review on Imbalanced Data Classification Techniques 不平衡数据分类技术综述

2022 International Conference on Advanced Computing Technologies and Applications (ICACTA) Pub Date : 2022-03-04 DOI: 10.1109/ICACTA54488.2022.9753392

S. J. Basha, S. Madala, K. Vivek, Eedupalli Sai Kumar, Tamminina Ammannamma

{"title":"A Review on Imbalanced Data Classification Techniques","authors":"S. J. Basha, S. Madala, K. Vivek, Eedupalli Sai Kumar, Tamminina Ammannamma","doi":"10.1109/ICACTA54488.2022.9753392","DOIUrl":"https://doi.org/10.1109/ICACTA54488.2022.9753392","url":null,"abstract":"Most all datasets that hold real-time data have an imbalanced organization of class instances. The total quantity of instances in certain classes is substantially greater than other classes and this skewed nature in the arrangement of classes is called Class Imbalance Problem (CIP). This imbalanced data affects the prediction performance since this forecast the weak class data samples wrongly. CIP is experienced by data mining professionals in a broad range of sectors. The categorization of imbalanced data is a huge challenge that arises in the discipline of Machine Learning (ML) and Deep Learning (DL). It is the critical issue that emerged for research and the deployment of sampling strategies to enhance the performance of the classifier has attracted extensive interest in the literature review. In this study, the importance of organizing imbalanced data is explained and the techniques suggested by the different scholars to counterbalance the skewed nature of classes and the assessment criteria for measuring the accuracy and prediction rate of the different classifiers have indeed been examined.","PeriodicalId":345370,"journal":{"name":"2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115205081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

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