Randy Zwitch • 8/15/2013

Anomaly Detection Using The Adobe Analytics API

Read Original

This technical article details implementing anomaly detection for time-series metrics using Exponential Smoothing methods via the Adobe Analytics API. It covers Holt-Winters techniques, model selection, and provides a practical R code example using the RSiteCatalyst package to identify statistically significant deviations in data like page views.

0 comments
#Time Series #Anomaly Detection #Exponential Smoothing
Anomaly Detection Using The Adobe Analytics API

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
The Beautiful Web
Jens Oliver Meiert • 2 votes
2
When your coding agent doesn’t understand your project, you’ll get junk
Benjamin Cane • 1 votes
3
LLM Use in the Python Source Code
Miguel Grinberg • 1 votes
4
Wagon’s algorithm in Python
John D. Cook • 1 votes
5
An example conversation with Claude Code
Dumm Zeuch • 1 votes