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Sigurd W. Hermansen

28 papers; 27 titles; 4 coauthors.

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Conference × Year × Title × Co-authors Extras Pages
SGF 2014 Big Data/Metadata Governance source 9
SESUG 2012 Linking Medical Records to Medics in Cyberspace source 9
SESUG 2012 Reducing Big Data to Manageable Proportions source 7
SGF 2012 Optimizing That Which cannot be optimized. Superfast SAS 9.2 + Searches and Fuzzy Linkage of Large Data Sets source 7
SESUG 2008 Evaluating Predictive Models (Part 1): Computing and Interpreting the c Statistic source 9
SESUG 2008 Evaluating Predictive Models (Part 2): Assessing Whether More Complex Models Predict Better source 20
SGF 2008 Evaluating Predictive Models: Computing and Interpreting the c Statistic source 9
SGF 2008 Existential Moments in Database Programming: SAS PROC SQL EXISTS and NOT EXISTS Quantifiers, and More Stanley E. Legum source 6
SGF 2008 SAS Scripting of a Production Database into an Open Test Environment Himanshi Singh,
Laura Hrycyk
source 5
SESUG 2003 New Technologies for Delivering Data to Internal and External Clients source 5
SESUG 2003 Sublime Secrets of the SAS SQLheads source 6
SUGI 2003 New Technologies for Delivering Data to Internal and External Clients source 5
SESUG 2002 Structured Query Language: Logic, Structure, and Syntax source 10
SUGI 2002 Data Socket Adapters source 5
SESUG 2001 Fuzzy Key Linkage Robust Data Mining Methods for Real Databases source 10
SCSUG 2001 Fuzzy Key Linkage Robust Data Mining Methods for Real Databases 18
SEUGI 2001 Fuzzy key linkage: robust methods for real databases source 13
SESUG 2000 Think Thin 2-D: "Reduced Structure" Database Architecture source 5
SUGI 2000 Notes from the Outer Limits of 4GL RDBMS/SQL: The SAS System to the Rescue source 6
SUGI 1999 Relational Database Schemes and SAS Software SQL Solutions source 9
SESUG 1997 Clients <<-> Agent <->> Servers: Accessing Distributed, Heterogeneous Databases Greg Cox 6
SUGI 1997 Ten Good Reasons to Learn SAS Software's SQL Procedure source 5
SESUG 1996 TEN GOOD REASONS TO lEARN SAS SQl 5
SESUG 1995 Applications Development DOES PROGRAM EFFICIENCY REALLY MATTER ANYMORE? 10
SESUG 1994 Managing Overkill: How to Use SAS PROC CA TMOD to Estimate Odds Ratios 5
NESUG 1993 Using SAS Macros Functions to Extend the SAS System 7
NESUG 1992 Using SAS Character and List Functions to Extend the SAS Systems: Macro-Programming of Useful Functions 8
NESUG 1991 Using SAS Character and List Functions to Extend the SAS Systems Par I. Data Step Applications 6

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