Big Data News Hubb
Advertisement
  • Home
  • Big Data
  • News
  • Contact us
No Result
View All Result
  • Home
  • Big Data
  • News
  • Contact us
No Result
View All Result
Big Data News Hubb
No Result
View All Result
Home Big Data

Research Highlights: MIT Develops First Generative Model for Anomaly Detection that Combines both Reconstruction-based and Prediction-based Models

admin by admin
February 20, 2023
in Big Data


Kalyan Veeramachaneni and his team at the MIT Data-to-AI (DAI) Lab have developed the first generative model, the AutoEncoder with Regression (AER) for time series anomaly detection, that combines both reconstruction-based and prediction-based models. They’ve been building it for three years—AER has been learning and extracting intelligence for signals and has reached maturity to outperform the market’s leading models significantly:

The percentage increase of AER (f1=0.7384) based on version 0.4.1:

  • 194.41% better than Azure Anomaly Detector (f1=0.2508)
  • 95.96% better than IBM GANF (f1=0.3768)

(Here’s the paper, published at the end of December in IEEE BigData 2022 for your reference: https://arxiv.org/pdf/2212.13558.pdf) 

AER is available publicly within Orion, an open source machine learning library for unsupervised time series anomaly detection, that is part of the MIT DAI Lab’s signal intelligence project (Sintel) to analyze large-scale time series data, develop advanced analytics human-in-the-loop workflows, and translate these into actionable insights that predict and prevent unexpected and critical issues.

Sign up for the free insideBIGDATA newsletter.

Join us on Twitter: https://twitter.com/InsideBigData1

Join us on LinkedIn: https://www.linkedin.com/company/insidebigdata/

Join us on Facebook: https://www.facebook.com/insideBIGDATANOW





Source link

Previous Post

How OLX Group migrated to Amazon Redshift RA3 for simpler, faster, and more cost-effective analytics

Next Post

Scaling One Peak After Another

Next Post

Scaling One Peak After Another

Recommended

Modern Data Architecture for Telecommunications

January 20, 2023

Three Reasons Inventory Control Matters So Much (and Three Related Metrics)

November 4, 2022

#ClouderaLife Spotlight: Preety Vatvani – Cloudera Blog

January 28, 2023

Don't miss it

Big Data

“Above the Trend Line” – Your Industry Rumor Central for 9/29/2023

September 30, 2023
Big Data

Ballard Power Systems RDU (Remote Diagnostics Unit) Visualization Platform for Interactive At-Scale Industrial IoT Streaming Analytics

September 30, 2023
News

Process and analyze highly nested and large XML files using AWS Glue and Amazon Athena

September 30, 2023
News

Rethinking ‘Open’ for AI

September 30, 2023
News

Embracing the New Era of Online Education

September 30, 2023
Big Data

Unleashing the Power of AI in Paid Search Marketing: Insights from Industry Expert

September 29, 2023
big-data-footer-white

© Big Data News Hubb All rights reserved.

Use of these names, logos, and brands does not imply endorsement unless specified. By using this site, you agree to the Privacy Policy and Terms & Conditions.

Navigate Site

  • Home
  • Big Data
  • News
  • Contact us

Newsletter Sign Up

No Result
View All Result
  • Home
  • Big Data
  • News
  • Contact us

© 2022 Big Data News Hubb All rights reserved.