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  • November 2021
  • Article

Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data

By: William Herlands, Edward McFowland III, Andrew Gordon Wilson and Daniel B. Neill
Identifying anomalous patterns in real-world data is essential for understanding where, when, and how systems deviate from their expected dynamics. Yet methods that separately consider the anomalousness of each individual data point have low detection power for subtle,... View Details
Keywords: Pattern Detection; Subset Scanning; Gaussian Processes; Mathematical Methods
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  • April 2024
  • Article

Detecting Routines: Applications to Ridesharing CRM

By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which we define as repeated behaviors with recurring, temporal... View Details
Keywords: Ride-sharing; Routine; Machine Learning; Customer Relationship Management; Consumer Behavior; Segmentation
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  • 21 Nov 2017
  • First Look

First Look at New Research and Ideas, November 21, 2017

value) of watches. This study reveals the process and mechanisms associated with the notion of technology reemergence, i.e., the resurgence of substantive and sustained demand for an old (legacy) technology following the introduction of a... View Details
Keywords: Sean Silverthorne

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