587 - Exploring the Art and Science of SAS® Text Analytics: Best Practices in Developing Rule-Based Models
Get answers to your questions, including in what context to choose a rule-based modeling versus a statistical approach, how to develop rule-based models that optimize model performance without compromising accuracy and more.
282 - Applying Text Analytics and Machine Learning to Assess Consumer Financial Complaints
In this presentation, we propose a repeatable model of text analytics techniques to explore sentiment in the publicly available CFPB data, focusing on whether a company paid out money. We also explore methods to structure and visualize the results.
1541 - Evolving your Analytics environment: SAS® Analytics in the Oracle Cloud
The cloud represents an opportunity to extend your analytic environments to accommodate increased capacity. Learn about deployment implications of Oracle Cloud versus on-site computing and which approach makes the most sense for your environment.
2025 - Beyond HAL 9000: How Organizations Can Embrace Artificial Intelligence and Machine Learning Today
AI is the next big wave of computing, poised to revolutionize many industries and usher in a better world. This session will cover some of the AI and machine learning initiatives for broader adoption that Intel is driving.
1229 - String Search in SAS® Visual Analytics Records
Robbert Rahamat demonstrates a search functionality that enables users to filter a LASR table for records containing a search string. The search is performed on character fields that are defined for the table and can be portions of words.
1165 - Advanced, Dynamic, and Effective Dashboarding with SAS® Visual Analytics
Accenture’s Abhilasha Tiwari presents five important objects in SAS Visual Analytics that are used to get the most out of dashboards in an effective and efficient way.
923 - Using the SYMPUT Function to Automatically Choose Reference for Bivariate Cox Proportional Models
Zhongjie Cai shows how to keep using 0 as the reference for each covariate without having to enter it manually each time by using the MACRO function and SYMPUT function.
1419 - Stored Processes or How to Make You Use SAS® Without Even Knowing It!
Experts from Bank of Montreal explain how to use stored processes in a flexible way to give all users, even those who do not use SAS, control over the output of the code. Examples of credit risk stress testing are included.
969 - SAS® Macros for Binning Predictors with a Binary Target
Bruce Stephen Lund from Magnify Analytic Solutions discusses and provides examples of two SAS macros: %NOD_BIN and %ORDINAL_BIN. Solutions are ranked by IV, and monotonic solutions are identified.
1090 - A Step by Step Solution to Create a Customized Graph for Grouped Data Using Graph Template Language
By analyzing the data and target graph with the available tools and options that GTL provided, Elva Chen from Pharmacyclics demonstrates SAS® Graph Template Language is a powerful and flexible tool to create a customized, complex graph.
1223 - A SAS® Macro for Covariate Specification in Linear, Logistic, and Survival Regression
Stanford University’s Sai Liu offers an efficient and user-friendly SAS macro (%SPECI) to help analysts determine how best to specify the appropriate functional form of a covariate in a linear, logistic and survival analysis model.
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