Datarobot, Inc.

International Business Machines Corporation

Ryan West

Ryan Sevey

Jeff Gabriel

Matt Steinpreis

Craig Vermeer

John Bledsoe

Jason Montgomery

ChunHui Yang Higgins

Shirley M Han

William Wesley Beaver

Emilio Fiallos

Gustavo Adolfo Arismendi Camero

Omar Hammami

Kyle Greeley

Zachary Ryan

Kevin Potter

Oner Sufri

A computer-implemented method, computer system, and computer program product for threat management. A set of features used by a machine learning model is collected by the computer system to determine a threat type for an access attempt when the access attempt is detected. A cluster is determined, by the machine learning model in the computer system, for the access attempt using the set of features, wherein the machine learning model implements clustering to determine the cluster for the access attempt, and wherein the cluster for the access attempt corresponds to the threat type for the access attempt. A set of actions is performed by the machine learning model in the computer system based on the threat type determined for the access attempt.

Intrusion management with threat type clustering

An apparatus has a memory with processor-executable instructions and a processor operatively coupled to the memory. The apparatus receives datasets including time series data points that are descriptive of a feature of a given entity. The processor determines a time series characteristic based on the data content, and selects, based on the determined characteristic, a set of entrant forecasting models from a pool of forecasting models stored in the memory. Next, the processor trains each entrant forecasting model with the time series data points to produce a set of trained entrant forecasting models. The processor executes each trained entrant forecasting model to generate a set of forecasted values indicating estimations of the feature of the given entity. Thereafter the processor selects at least one forecasting model from the set of trained entrant forecasting models based on computed accuracy evaluations performed over the set of forecasted values.

Methods for self-adaptive time series forecasting, and related systems and apparatus

Methods and apparatus for self-adaptive time series forecasting engine

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Columbus, OH, United States of America

Ryan West