Wednesday May 18, 2016
Random Forest versus Logistic Regression
Different methods generate different variable selection results, reflecting the needs for a comprehensive literature review. These different methods include correlation with dependent variable, p-value, information value, as well as variable importance, and their validities under different conditions.
Wednesday Apr. 20, 2016
Comparison of association, product network analysis and sequence analysis to identify product & service purchase patterns in B2B businesses
There are several efficient methods and tools that currently exist to understand association patterns between consumption of products and services both for B2B and B2C verticals. In this study, we will dive deep into the tools, methods, pros and cons of different analytics methods such as market basket, sequence analysis and product network analysis for cross selling, next best purchase and assortment opportunities. The study will also talk about the nuances of longitudinal association vs. point in time association. We have used open source tools like Gephi, Sankey charts vs. Tableau and Alteryx and also referenced several existing research.
Wednesday Mar. 16, 2016
On Gradient Boosting and Comparative Performance in Business Applications
Business applications usually involve classifications issues, such as response/no-response in direct marketing, customer attrition and fraud detection. Many techniques are used. We present Friedman's Gradient Boosting (GB) algorithm that belongs in the data mining toolbox for both classification and regression problems.
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Wednesday Feb. 17, 2016
User Level Marketing Optimization in Online Advertising
An overview of "1:1" Customer Experiences in Online Marketing, and how it changes marketing optimization problems and workflows. This presentation will include a walk-through of how different marketing systems: Advertising Tech and Marketing Tech are progressively able to streamline customer interactions across all of their systems. This includes a brief discussion different marketing optimization workflows as a user moves from the top of the sales funnel through purchase and customer service phases, and an open source example of using large online marketing data sets for prediction.
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Wednesday June 15 12:00 – 2:00 pm
Director of Analytics, NYPD Counterterrorism Bureau
The New York City Police Department's Domain Awareness System
Finalist Presentation in the INFORMS 2016 Franz Edelman Award CompetitionThe New York City Police Department (NYPD), the largest state or local police force in the United States, is charged with securing New York City from crime and terrorism. The NYPD's Domain Awareness System (DAS) is a citywide network of sensors, databases, devices, software, and infrastructure that informs decision making by delivering analytics and tailored information to officers' smartphones and precinct desktops. DAS development began in earnest in 2008; since then, the NYPD has used the system to employ a unique combination of analytics and information technology, including pattern recognition, machine learning, and data visualization.
For reservation assistance write to our gmail address or call John Waldes (212) 362-0302
INFORMS NY Metro is actively seeking speakers and topics. If you have a data analytic or business oriented topic please contact Jack Theurer or Leon Schwartz.
INFORMS NY is the New York City Chapter of the Institute for Operations Research and Management Science.