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confusion matrix

44 papers and 2 presentations; 41 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Interactive Modeling with SAS Visual Statistics Danny R. Modlin source 28
PharmaSUG CN 2026 Automated Clinical Text Classification with Robust Machine Learning for Pharmaceutical Data Curation Weineng Zhou source 11
PharmaSUG 2026 Machine Learning Models for Predicting Diabetes Using the PIMA Indians Dataset Leon Rod Davoody source 11
PHUSE APAC 2026 A Hybrid Machine Learning Framework for Predicting Himanshu Dadhich,
Nikhil Khandelwal		 source
presentation source		 26
MWSUG 2025 Feature Selection and Classification Using Fuzzy Logic Ross Bettinger source 39
SESUG 2024 Comparative Analysis of Sentiment Prediction Methods Using Aspects in Consumer Reviews Harish Palakurthi source 8
SESUG 2024 Interactive Modeling with SAS Visual Statistics Danny R. Modlin source 28
WUSS 2024 From Keys to Credit: A Deep Dive into Homeownership's Influence on Loan Quality Yi-Che Chen,
Debanik Chakraborty		 source 15
WUSS 2023 Introduction to Machine Learning - Descriptions and Best Practices Jim Box source 13
SESUG 2023 Designing Against Bias: Identifying and Mitigating Bias in Machine Learning and AI David J. Corliss source 9
PharmaSUG 2023 What is Machine Learning, anyway? Jim Box source 11
SESUG 2020 Model Comparison of Machine Learning Techniques to detect signs of Penetrating Abdominal and Pelvic Injuries using Base JMP and R Integration Melvin T. Alexander source 25
SGF 2020 Apply the Key Ideas from Andrew Ng's Machine Learning Certification (Coursera) in SAS Viya Petri Roine source 9
SGF 2020 Relationship analysis and customer churn forecasting in a financial cooperative institution Carolina Silva,
Brunno Sousa Ramos		 source 7
SGF 2020 Using Analytics to Predict Tax Recovery and Prioritize Audits and Investigations in Canada Jason A. Oliver source 19
SGF 2020 What's New in SAS Visual Analytics? Smart Business Intelligence, Smart Analytics Rajiv Ramarajan,
Mark Malek		 source 14
PHUSE EU 2019 Using R to build artificial neural networks in medical data Thomas Wollseifen source
presentation source		 17
SCSUG 2019 Building a Neural Network Scoring Model with JMP and Microsoft SQL Server to predict Aggregate Motor Vehicle Driver Alcohol Impairment David Whitchurch source 10
PharmaSUG 2019 An Introduction to the Process of Improving a Neural Network YuTing Tian source 22
PharmaSUG 2019 Machine Learning Approaches to Identify Rare Diseases Xuan Sun,
Ruohan Wang		 source 5
SGF 2019 An Introduction to the Process of Improving a Neural Network YuTing Tian source 22
PHUSE EU 2018 Want to Get Started with Deep Learning? Prototyping a Deep Learning Image Classifier Thomas Ellebaek source
presentation source		 9
MWSUG 2018 An Introduction to the Process of Improving a Neural Network YuTing Tian 22
SGF 2018 Shorter Waiting Time, Better Emergency Healthcare: Forecasting Stockholms' Emergency Room Visits Martin Nordberg,
Oskar Eriksson		 source 24
SGF 2017 Exploring the Art and Science of SAS Text Analytics: Best Practices in Developing Rule-Based Models Murali Krishna Pagolu,
Cheyanne Baird,
Christina Engelhardt		 source 15
SGF 2017 Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data Josephine Akosa source 12
SCSUG 2016 Determining the functionality of Water Pumps in Tanzania Using SAS EM and VA Indra Kiran Chowdavarapu,
Vivek Damodaran Manikandan		 source 9
SGF 2016 Arrest Prediction and Analysis based on a Data Mining Approach Karan Rudra,
Goutam Chakraborty,
Maitreya Kadiyala		 source 9
WUSS 2015 Managing and Monitoring Statistical Models Nathaniel Derby source 13
SGF 2014 Building Gamer Segmentation in the Credit Card Industry Using SAS Enterprise Guide Yang Ge source 10
MWSUG 2013 Managing and Monitoring Statistical Models Nathaniel Derby 13
SGF 2013 Managing and Monitoring Statistical Models Nathaniel Derby source 13
MWSUG 2012 JMP Pro Bootstrap Forest George J. Hurley 10
SGF 2010 ROC Hard? No, ROC Made Easy! Kriss Harris source 12
SGF 2009 Reject Inference Techniques Implemented in Credit Scoring for SAS Enterprise Miner Billie Anderson,
Susan Haller,
Naeem Siddiqi		 source 11
SGF 2008 In Search for a Golden Algorithm Tamara S. Slipchenko,
Candice Bowman,
Catherine Sugar,
Allen L. Gifford		 source 9
WUSS 2007 Case Study: Development of an HIV casefinding algorithm with SAS Enterprise Miner Tamara Slipchenko,
Candice Bowman,
Yuexin (Cindy) Chen,
Catherine Sugar,
Allen L. Gifford		 source 9
SCSUG 2007 Deploying Predictive Models in the Newspaper Industry April Wilson,
Kuao-Tien Chen		 23
WUSS 2006 Find the Best Prospects for a New Product by Using a Data Mining Model Ting Wu source 8
SCSUG 2004 Designing the Optimal File Linkage Algorithm (OFLA) [ Poster ] Tsai Mei Lin 14
SEUGI 2001 Data Mining In a Zero Latency Enterprise [presentation] Philip Bosinoff source 36
SEUGI 1999 Application of statistics in banking: marketing applications [presentation] George Damianov source 19
SUGI 1994 Estimating Components of Variance for a Linear Model Having a Mixed Fixed/Random Factor in a Large Data Structure Dawn VanLeeuwen,
N. Scott Urquhart		 source 5
SUGI 1992 Evaluating Export Marketing Decisions Using Cluster Analysis and Correspondence Analysis Marcus Schmidt,
Jesper Strandskov,
Gerald Albaum		 source 5
SUGI 1989 Estimation of Error Rates in Discriminant Analysis by Bootstrapping Jacques Delince,
F. Javier Gallego		 source 5
SUGI.ONE 1976 Discriminant or Cluster Analysis Paul D. Hopkins,
Harold F. Huddleston		 source 11

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