Bot filtering using statistics and machine learning introduction

Last update: 2025-01-23
  • Topics:
  • Queries
    View more on this topic
  • Created for:
  • User
    Developer

Effective bot filtering helps businesses improve data quality by identifying and removing unwanted traffic. This guide introduces the key concepts and techniques for detecting bot activity using SQL and machine learning.

AVAILABILITY

This functionality is available to customers who have purchased the Data Distiller add on. For more information, contact your Adobe representative.

Key topics covered

The document provides guidance on:

  • Understanding and identifying bot activity patterns
  • Using SQL to filter bot traffic based on defined thresholds
  • Implementing machine learning models to improve detection
  • Evaluating and optimizing bot filtering strategies

Next steps

To explore detailed steps and examples, see the full guide.

On this page