There are many methods, techniques and algorithms used in the machine learning, artificial intelligence, econometrics or statistical modeling.

However, some of those methods better meet the needs related to the identification of bots. Due to the variety of applications, it is impossible to list all the available approaches, hence this chapter focuses on those methods that are known to be used in the bot-related issues, or the applications are not known, but are potent, estimated based on the other known problems.

At the same time, it is worth noting that the vast majority of those methods are applied in the issues mentioned in the previous chapter, i.e. the classification and prediction.

  • Linear Regression
  • Logistic regression
  • Decision trees
  • Artificial neural networks
  • Panel models
  • Machine learning
  • Unsupervised learning

For a detailed explanation of those methods download our study:


Download REPORT: Identifying bots