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OpenAlex topic

Imbalanced Data Classification Techniques

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 1,454 works 113 author topics

Works

1,454 works

  1. Advanced Data Mining Techniques 2007
    OpenAlex top 1% OpenAlex 99.3%

    No abstract yet.

  2. Imbalanced Learning 2013
    OpenAlex top 10% OpenAlex 98.4%

    The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learning Imbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems is critica…

  3. Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach 2017
    YÖKSİS SJR Q2 JCR Q3 OpenAlex top 1% OpenAlex 99.8%

    ROC curve analysis is often applied to measure the diagnostic accuracy of a biomarker. The analysis results in two gains: diagnostic accuracy of the biomarker and the optimal cut-point value. There are many methods proposed in the literature to obtain the optimal cut-point value. In this study, a new approach, alterna…

  4. Measuring firm performance using financial ratios: A decision tree approach 2013
    OpenAlex top 1% OpenAlex 99.7%

    No abstract yet.

  5. Design of a hybrid system for the diabetes and heart diseases 2008
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.9%

    No abstract yet.

  6. easyROC: An Interactive Web-tool for ROC Curve Analysis Using R Language Environment 2016
    OpenAlex top 1% OpenAlex 99.7%

    ROC curve analysis is a fundamental tool for evaluating the performance of a marker in a number of research areas, e.g., biomedicine, bioinformatics, engineering etc., and is frequently used for discriminating cases from controls.There are a number of analysis tools which are used to guide researchers through their an…

  7. easyROC: an interactive web-tool for ROC curve analysis using R language environment 2016
    YÖKSİS SJR Q2 JCR Q2 OpenAlex top 1% OpenAlex 99.7%

    ROC curve analysis is a fundamental tool for evaluating the performance of a marker in a number of research areas, e.g., biomedicine, bioinformatics, engineering etc., and is frequently used for discriminating cases from controls.There are a number of analysis tools which are used to guide researchers through their an…

  8. A cost-sensitive decision tree approach for fraud detection 2013
    OpenAlex top 1% OpenAlex 99.1%

    No abstract yet.

  9. Learning on the border 2007
    OpenAlex top 10% OpenAlex 98.6%

    This paper is concerned with the class imbalance problem which has been known to hinder the learning performance of classification algorithms. The problem occurs when there are significantly less number of observations of the target concept. Various real-world classification tasks, such as medical diagnosis, text cate…

  10. Comparative analysis of data mining methods for bankruptcy prediction 2011
    OpenAlex top 1% OpenAlex 99.6%

    No abstract yet.

  11. Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms 2011
    YÖKSİS SJR Q2 JCR Q1 OpenAlex top 10% OpenAlex 97.8%

    No abstract yet.

  12. Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms 2011
    YÖKSİS SJR Q2 JCR Q1 OpenAlex top 10% OpenAlex 97.8%

    No abstract yet.

Academicians

113 academicians