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Articles 1 - 3 of 3
Full-Text Articles in Business
A Descriptive Study Of Variable Discretization And Cost-Sensitive Logistic Regression On Imbalanced Credit Data, Lili Zhang, Jennifer Priestley, Herman Ray, Soon Tan
A Descriptive Study Of Variable Discretization And Cost-Sensitive Logistic Regression On Imbalanced Credit Data, Lili Zhang, Jennifer Priestley, Herman Ray, Soon Tan
Published and Grey Literature from PhD Candidates
Training classification models on imbalanced data tends to result in bias towards the majority class. In this paper, we demonstrate how variable discretization and cost-sensitive logistic regression help mitigate this bias on an imbalanced credit scoring dataset, and further show the application of the variable discretization technique on the data from other domains, demonstrating its potential as a generic technique for classifying imbalanced data beyond credit scoring. The performance measurements include ROC curves, Area under ROC Curve (AUC), Type I Error, Type II Error, accuracy, and F1 score. The results show that proper variable discretization and cost-sensitive logistic regression with …
A Product Affinity Segmentation Framework, Lili Zhang, Jennifer Priestley, Joseph Demaio, Sherry Ni
A Product Affinity Segmentation Framework, Lili Zhang, Jennifer Priestley, Joseph Demaio, Sherry Ni
Published and Grey Literature from PhD Candidates
Product affinity segmentation discovers the linking between customers and products for cross-selling and promotion opportunities to increase sales and profits. However, there are some challenges with conventional approaches. The most straightforward approach is to use the product-level data for customer segmentation, but it results in less meaningful solutions. Moreover, customer segmentation becomes challenging on massive datasets due to computational complexity of traditional clustering methods. As an alternative, market basket analysis may suffer from association rules too general to be relevant for important segments. In this paper, we propose to partition customers and discover associated products simultaneously by detecting communities in …
Year Of Cuba 2019-2020, Nashieli Marcano, Leslie Drost
Year Of Cuba 2019-2020, Nashieli Marcano, Leslie Drost
Research Guides & Subject Bibliographies
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