Clickstream Data Mining Techniques: An Introduction

This page summarizes the projects mentioned and recommended in the original post on dev.to

Our great sponsors
  • OPS - Build and Run Open Source Unikernels
  • Scout APM - Less time debugging, more time building
  • SonarQube - Static code analysis for 29 languages.
  • dbt-sessionization

    Using DBT for Creating Session Abstractions on RudderStack - an open-source, warehouse-first customer data pipeline and Segment alternative.

    We highly recommend checking out our Sessionization repository on GitHub to see how to use the sessions in a practical scenario.

  • ClickstreamAnalysis

    Analyzing Clickstream Data using Markov Chains and data mining SPACE algorithm

    All the relevant code pertaining to the techniques and methods used in this post can be found here.

  • OPS

    OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.

  • rudderstack-docs

    Documentation repository for RudderStack - the Customer Data Platform for Developers.

    The third -- and the best -- alternative is to use an open-source Customer Data Infrastructure tool like RudderStack. Not only do they provide a client-side SDK to capture your events, but you also get the flexibility to store the events wherever you want.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts