- AutoML for Temporal Relational Data: A New Frontier - Oct 30, 2019.
While AutoML started out as an automation approach to develop optimal machine learning pipelines, extensions of AutoML to Data Science embedded products can now enable the processing of much more, including temporal relational data.
AutoML, KDD, Temporal Data, Time Series
- Time Series Analysis with Generalized Additive Models - Apr 18, 2017.
In this tutorial, we will see an example of how a Generative Additive Model (GAM) is used, learn how functions in a GAM are identified through backfitting, and learn how to validate a time series model.
Temporal Data, Time Series
- Top KDnuggets tweets, May 21-22: Outlier Detection for Temporal Data; Become a Big Data mgr with #ieMBD - May 23, 2014.
Outlier Detection for Temporal Data ; 1.5M #BigData managers will be needed - Become one with #ieMBD; Goldman Sachs Surveillance Analytics; InformationWeek 10 Big Data Pros To Follow On Twitter.
Anomaly Detection, Data Science Education, Goldman Sachs, Temporal Data, Twitter
- Outlier Detection for Temporal Data - May 22, 2014.
Outlier Detection for Temporal Data covers topics in temporal outlier detection, which have applications in numerous fields. It starts with the basic topics then moves on to state of the art techniques in the field.
Anomaly Detection, Book, Charu Aggarwal, Jiawei Han, Morgan & Claypool, Outliers, Temporal Data
