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unsupervised learning

22 papers and 2 presentations; 22 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE EU 2025 Keeping it Real: A Tiered Approach to Real-World Data Quality by Leveraging Synthetic Data Lisa Murch,
William Kuan		 source
presentation source		 10
MWSUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
PHUSE EU 2024 Unlocking the Potential of Unstructured Data in Real-World Evidence: Leveraging Text for Enhanced Patient Classification and Regulatory Validation Georgios Panagiotakis,
Maria Puri		 source
poster source		 10
SESUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
WUSS 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 6
PHUSE EU 2023 Detroit, Michigan: A Case Study for DEI Via Decentralised Clinical Trials (DCTs) Mark Rothe source
presentation source		 26
PHUSE US 2021 Exploring Categorical Data Using Unsupervised Graph-based Machine Learning [presentation] Irina Kotenko,
Kostiantyn Drach		 source
video		 34
SGF 2021 Fundamentals of Machine Learning [presentation] Labeeb Khan source 27
SESUG 2019 Summarizing some conventional methods to classify a binary target Yida Bao,
Philippe Gaillard		 source 10
PharmaSUG 2019 Performing Analytics on Free-Text Data Fields: A Programer-s Wurst Nitemare Michael S Rimler,
Matt Pitlyk		 source 18
PHUSE US 2019 Getting REAL with Supervised and Unsupervised Machine Learning Algorithms in the Real World Himanshu Pandya,
Bob Engle		 source
presentation source		 7
WUSS 2018 Machine Learning - Why we should know it and how it works Kevin Lee source 8
PHUSE US 2018 Modeling and Text Analysis to Empower FAERS Adverse Event Mitigation Qais Hatim,
Emily McRae		 source
presentation source		 24
PharmaSUG 2018 Machine Learning - Why we should know and How it works Kevin Lee source 8
SGF 2018 Are New Modeling Techniques Worth It? Tom Zougas source 8
SGF 2014 An Overview of Machine Learning with SAS Enterprise Miner Patrick Hall,
Jared Dean,
Ilknur Kaynar Kabul,
Jorge Silva		 source
zip		 24
SGF 2011 Taking Disease and Health Management Analytics into the Next Generation George S. Habek source 13
WUSS 2010 101 Applications of Multivariate Statistical Procedures: PRINCOMP, CLUSTER, DISCRIM in SAS 9.2 Keh-Dong Shiang source 22
NESUG 2006 Predicting Child Support Payment Delinquency Using SAS Enterprise Miner 5.1 Jodi Blomberg,
Jacqueline K. Long		 12
SUGI 2006 Predicting Child Support Payment Delinquency Using SAS Enterprise Miner 5.1 Jodi Blomberg,
Jacqueline K. Long		 source 12
SUGI 2005 Predicting Workers' Compensation Insurance Fraud Using SAS Enterprise Miner 5.1 and SAS Text Miner Terry J. Woodfield source 6
WUSS 2003 Principal Component Analysis, A Powerful Scoring Technique George C. J. Fernandez source 6
NESUG 1996 Statistical Analysis of Self-Organizing Maps Susan B. Garavaglia,
Asha Sharma		 10
SUGI 1994 Neural Networks and Statistical Models Warren S. Sarle source 13

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