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support vector machine

29 papers and 1 presentation; 29 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE US 2026 Machine Learning Model for Risk Qualification of R Libraries Felipe Jimenez,
Luis Diego Leal Chaves		 source
presentation source		 13
PHUSE APAC 2026 Machine Learning Algorithms to Explore the Relationship Between Primary Obsessive-Compulsive Disorder (OCD) and Co-morbid Depression Symptoms Ajay Kumar Singh,
Sabyasachi Mukherjee		 source
presentation source		 12
PHUSE EU 2024 Leveraging 'Ensemble' Machine Learning Models to Drive Automation of Specification Generation and Data Mapping in Clinical Trial Data Submission Venu Mallarapu source
presentation source		 10
SESUG 2024 Unlocking Insights: Harnessing Supervised Machine Learning for Advanced Data Analysis Vindhya Hegde source 23
PHUSE EU 2023 Machine-Learning Approaches to Survival Analysis of Clinical Data Dorothee Childs,
Christoph Bergen		 source
presentation source		 2
SGF 2020 How to Build a Text Analytics Model in SAS Viya with Python Nate Gilmore source 13
SGF 2020 The Seven Most Popular Machine Learning Algorithms for Online Fraud Detection and Their Use in SAS Patrick Maher source 6
SGF 2020 What's New in SAS Visual Data Mining and Machine Learning: From a Programmer's Perspective Tao Wang source 13
PharmaSUG 2019 An Application of Supervised Machine Learning Models on Natural Language Processing: Classifying QC Comments into Categories Xiaoyu Tang,
Todd Case		 source 10
PharmaSUG 2019 Hands-on Training for Machine Learning Programming Kevin Lee source 12
PharmaSUG 2019 Machine Learning Approaches to Identify Rare Diseases Xuan Sun,
Ruohan Wang		 source 5
SGF 2019 Machine Learning and Predictive Analytics in SAS Enterprise Miner and SAS/STAT Software David Richard Cutler source 21
PHUSE EU 2018 Using SAS Advanced Analytic to Gain Insight into the Opioid Epidemic [presentation] Andy Bayliss source 17
WUSS 2018 Machine Learning - Why we should know it and how it works Kevin Lee source 8
PharmaSUG 2018 Machine Learning - Why we should know and How it works Kevin Lee source 8
SGF 2018 Application of Support Vector Machine Modeling and Graph Theory Metrics for Disease Classification Jessica Rudd source 10
SGF 2018 Mitigating the Effects of Class Imbalance Using SMOTE and Tomek Link Undersampling in SAS Kyle Biron source 20
SGF 2018 SAS Cloud Analytic Services Actions: A Holistic View Mark Gass source 20
WUSS 2017 An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya Radhikha Myneni source 23
SGF 2017 An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya Jonathan Wexler,
Susan Haller		 source 23
SGF 2017 Interactive Modeling in SAS Visual Analytics Donald R. Chapman,
Jonathan Wexler		 source 16
SGF 2017 Methods of Multinomial Classification Using Support Vector Machines Ralph Abbey,
Taiping He,
Tao Wang		 source 20
SGF 2017 Modeling the Merchandise Return Behavior of Anonymous and Non-Anonymous Online Apparel Retail Shoppers Sunny Lam source 20
SGF 2017 Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data Josephine Akosa source 12
SGF 2016 Application of Data Mining Techniques in Improving Breast Cancer Diagnosis Josephine Akosa source
presentation		 10
SGF 2016 Predicting Forest Fire Occurrence and Incremental Fire Rate Using SAS 9.4 and SAS Enterprise Miner 14.1 Quyen Nguyen source 12
SGF 2015 Applied Analytics in Festival Tourism: A Case Study of Intention-to-Revisit Prediction in an Annual Local Food Festival in Thailand Jongsawas Chongwatpol,
Thanathorn Vajirakachorn		 source 13
SGF 2015 Predicting Readmission of Diabetic Patients Using the High-Performance Support Vector Machine Algorithm of SAS Enterprise Miner 13.1 Hephzibah Munnangi,
Goutam Chakraborty		 source 10
SGF 2014 The Role of Customer Response Models in Customer Solicitation Center's Direct Marketing Campaign Arun Mandapaka,
Amit Kushwah,
Goutam Chakraborty		 source 12
SGF 2014 What's New in SAS Enterprise Miner 13.1 Jared Dean,
Jonathan Wexler		 source 16

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