ScholarIQanswers from OpenAlex
Imbalanced Data Classification Techniques
TopicLeading institutions, researchers & key papers
Imbalanced Data Classification Techniques is a topic indexed in ScholarIQ from OpenAlex.
What is known about Imbalanced Data Classification Techniques?
ScholarIQrecord summary
This cluster of papers focuses on the challenges and techniques for handling imbalanced data in classification problems. It covers methods such as SMOTE, ROC analysis, cost-sensitive learning, ensemble methods, and their applications in fraud detection. The cluster also discusses the use of precision-recall and boosting algorithms, as well as the effectiveness of random forest in addressing imbalanced datasets.
How many works does Imbalanced Data Classification Techniques have?
ScholarIQindexed works
Imbalanced Data Classification Techniques has 97 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Imbalanced Data Classification Techniques?
ScholarIQopenalex
The OpenAlex for Imbalanced Data Classification Techniques is on the source record.
What are the most-cited papers on Imbalanced Data Classification Techniques?
ScholarIQmost cited works
Facing Imbalanced Data--Recommendations for the Use of Performance Metrics
László A. Jeni, Jeffrey F. Cohn, Fernando De la Torre
A Comparison of Undersampling, Oversampling, and SMOTE Methods for Dealing with Imbalanced Classification in Educational Data Mining
Tarid Wongvorachan, Surina He, Okan Bulut
Credit Card Fraud Detection - Machine Learning methods
Dejan Varmedja, Mirjana Karanovic, Srdjan Sladojević, Marko Arsenović, Andraš Anderla
Intelligent financial fraud detection practices in post-pandemic era
Xiaoqian Zhu, Xiang Ao, Zidi Qin, Yanpeng Chang, Yang Liu, Qing He, Jianping Li
A survey on statistical methods for health care fraud detection
Jing Li, Kuei-Ying Huang, Jionghua Jin, Jianjun Shi
Where is Imbalanced Data Classification Techniques research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Imbalanced Data Classification Techniques is open access?
ScholarIQopen access share
53%OPEN ACCESS