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network optimization

64 papers and 3 presentations; 65 titles.

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Conference × Year × Title × Authors Extras Pages
SESUG 2025 Network Science: Algorithms to Analyze and Optimize Network Structures and Solve Business Problems Carlos Pinheiro 3
WUSS 2024 X-Ray Image Classification with Neural Networks Riley Rutan,
Eric C Braga,
Xinyu Du		 source 10
SGF 2021 Let's enjoy the computer vision using SAS Viya! Shinjo Yada,
Ryuji Uozumi		 source 19
SGF 2021 Next-Generation Data Mining and Machine Learning: Python and SAS Together at Last George S. Habek,
Suman Kumar Das		 source
presentation		 24
SGF 2020 Neural-Network Based Forecasting Strategies in SAS Viya Steven C. Mills source 14
SGF 2020 Using the Optgraph Procedure to Construct Closed Knight's Tours on Standard and Variant Chessboards Joe DeMaio,
Shafiul Alam		 source 15
PHUSE US 2020 Data Review of RECIST Criteria using ML/AI A Proof of Concept Example Priya Gopal source
presentation source		 7
SESUG 2019 Face Recognition Using SAS Viya: Guess Who the Person Is! Pratyush Dash source 6
SESUG 2019 Glass Box Neural Networks Ross Bettinger source 14
SESUG 2019 Hybrid Rare Event Sampling Technique Ross Bettinger source 15
SESUG 2019 Macros for Neural Network Modeling Ross Bettinger source 23
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
SCSUG 2019 Uplift Modeling in Retail Marketing using SAS Aashish Arjan Bugalia,
Agastya Komarraju,
Miriam McGaugh		 source 15
SGF 2019 The Aftermath What Happens after you Deploy Your Models and Decisions David R. Duling source 18
PHUSE US 2019 Smart Transformation of Clinical & Nonclinical Data for Insights Isaac Mativo,
Raja Ramesh,
Phaneendra Bonda		 source
presentation source		 1
SGF 2018 Accelerate your End-to-End Enterprise Decisions with SAS Viya David R. Duling,
Steve Sparano		 source 12
SGF 2017 Building Bayesian Network Classifiers Using the HPBNET Procedure Ye Liu,
Weihua Shi,
Wendy Czika		 source 19
SGF 2017 Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data Josephine Akosa source 12
SGF 2017 Random Forests with Approximate Bayesian Model Averaging Tiny Du Toit,
Andre De Waal		 source 11
SESUG 2016 Know your Interest Rate Anirban Chakraborty,
Goutam Chakraborty		 source 16
SGF 2016 Predicting If Mental Health Facilities Will Offer Free Treatment to Patients Who Cannot Afford It Ram Poudel,
Lynn Xiang		 source 11
SGF 2015 A Case Study: Improve Classification of Rare Events with SAS Enterprise Miner Ruizhe Wang,
Novik Lee,
Yun Wei		 source
zip		 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 2014 How to Interpret SVD Units in Predictive Models? Murali Krishna Pagolu,
Goutam Chakraborty		 source 10
SGF 2014 New Features in SAS/OR 13.1 Edward P. Hughes,
Robert C. Pratt		 source 15
SGF 2014 Text Mining Reveals the Secret of Success: Identification of Sales Determinants Hidden in Customers' Opinions Rafal Wojdan source 18
SGF 2013 Predictive Modeling in Sports Leagues: An Application in the Indian Premier League Goutam Chakraborty,
Pankush Kalgotra,
Ramesh Sharda		 source 10
SGF 2013 Using the Boosting Technique to Improve the Predictive Power of a Credit Risk Model Alejandro Correa Bahnsen,
Andres F. Gonzalez,
Darwin A. Amezquita		 source 7
SGF 2012 Constructing a Credit Risk Scorecard Using Predictive Clusters Andres F. Gonzalez,
Alejandro Correa Bahnsen,
Ana C. Nieto,
Darwin A. Amezquita		 source 13
SGF 2012 New Features in SAS/OR 12.1 Edward P. Hughes,
Manoj Chari		 source 11
SGF 2011 Demand Sensing via C-B4 Pattern Analysis and SAS Forecast Server Irad Ben-Gal source 4
SGF 2010 A Network Optimization Solution Using SAS/OR Tools for the Department of the Army Branching Problem Michael C. Grierson source 12
SCSUG 2009 Risk-Based Portfolio Optimization Using SAS Wei Chen 11
SGF 2009 Risk-Based Portfolio Optimization Using SAS Wei Chen source 11
MWSUG 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga 20
WUSS 2007 Data Mining Using SAS Enterprise Miner Randall Matignon source 10
SGF 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga source 20
WUSS 2006 Find the Best Prospects for a New Product by Using a Data Mining Model Ting Wu source 8
SCSUG 2005 Techniques And Methods To Implement Neural Networks Using SAS and .NET Shenglin Zheng,
Johnny Dupree,
Uttam Shah,
Marc Torres		 10
SUGI 2004 Data Mining Applications for a Six-Sigma Project Jong-Hag Jeon source 3
SEUGI 2002 Calculating the return on investment made in Analytical CRM - does it make business sense? [presentation] AJ Kruger source 27
SUGI 2002 Data Mining in Quality Improvement Bing Deng source 4
SUGI 2002 Neural Networks and Genetic Algorithms as Tools for Forecasting Demand in Consumer Durables Jerry Nickelsburg,
Paul D. McNelis		 source 6
SUGI 2002 To Neural or Not to Neural? - This Is the Question Leon L. Fedenczuk source 6
SUGI 2002 Using SAS Enterprise Miner for Data Quality Monitoring in the Veterans Health Administration's External Peer Review Program James H. Forsythe source 5
SEUGI 2001 Data Mining In a Zero Latency Enterprise [presentation] Philip Bosinoff source 36
SUGI 2001 Predictive Modeling in the Insurance Industry Using SAS Terry J. Woodfield source 5
SEUGI 2000 Supply Chain Optimization and Planning [presentation] Patrick Xhonneux source 47
SUGI 2000 Using Enterprise Miner to Explore and Exploit Drug Discovery Data Michael S. Lajiness source 8
SUGI 1999 SAS Integration Technologies Overview Steve Jenisch,
Chip Kelly,
Mark Gass		 source 1
NESUG 1998 A Smart Guide to Dummy Variables: Four Applications and a Macro Susan B. Garavaglia 10
SEUGI 1998 Data Mining at IMS America: How We Turned a Mountain of Data into a Few Information-rich Molehills Jerry Kagan,
Paul Kallukaran		 source 7
NESUG 1997 A Self-Organizing Median-Estimation Model Susan B. Garavaglia 9
NESUG 1997 Data Mining at IMS America: How We Turned a Mountain of Data into a Few Information-rich Molehills Paul Kallukaran 8
SUGI 1997 A SAS Based Data Mining Approach to Find Database Solutions in the Banking Industry Rama Jampani source 2
SEUGI 1996 Selecting creditworthy customers Stella Cacoullis source 8
SUGI 1994 Interpreting Complex Nonlinear Models Lawrence C. Marsh,
Maureen A. McGlynn,
Debopam Chakraborty		 source 5
SUGI 1994 SAS/OR Optimization Procedures with Applications to the Oil Industry Trevor D. Kearney,
Marc-David Cohen		 source
SUGI 1993 Estimating Neural Network Nonparametric Production Functions Using SAS Software Daric L. Brummet,
Lawrence C. Marsh		 source 5
SUGI 1993 New Features of PROC NETFLOW: Using IBM's Optimization Subroutine Library (OSL) Trevor D. Kearney source 8
SUGI 1993 Visualization of Porous Media Leon L. Fedenczuk,
Brian Wyvill		 source 8
SUGI 1992 Are Your Manufacturing and Distribution Systems Optimal? Exploiting Networks to Solve Linear Programming Models Faster Maria Lupetin,
Trevor D. Kearney		 source 5
MWSUG 1991 Are Your Manufacturing and Distribution Systems Optimal? Exploiting Networks to Solve Linear Programming Models Faster Mario G. Lupetin,
Trevor D. Kearney		 6
SUGI 1987 Mechanization of the Telephone Allocation Plan - A Network and/or Transportation Problem Carole Therrien source 6
SUGI 1986 SAS/OR Software - A Decision Support System Prototype for Network Problems Marc-David Cohen source 10
SUGI 1982 The Role of Database Management Systems for Investigative Data Gary Anderson source
SUGI 1979 Uses of SAS for Corporate Operations Research Robert L. Anderson source 1

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