Divolte Collector

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, machine learning, and Monte Carlo Markov Chain simulations framework over Pandas, Networkx and sklearn.

Use Kafka and Apache Spark streaming to perform click stream analytics

Python package to model clickstream data as a Markov chain. Inspired by R package clickstream.

Sample Notebooks demonstrate a use case of Click Stream analysis with IBM EventStore using Scala APIs to ingest and analyze web event data.

Reranks and expands Solr query returns using clickstream data

Count clicks in an unbounded clickstream over a Time window using Apache Flink's DataStream API

Sample notebooks demonstrate a use case of clickstream analysis with IBM Db2 Event Store using Scala APIs to ingest and analyze web event data.

Sparse data processing toolbox. It builds on top of pandas and scipy to provide DataFrame like API to work with sparse categorical data.

Wikipedia clickstream data exploration using network analysis

Project to provide sample to use Spark UDFs using Java

Analytics using clickstream data and visualise it using tableau

Simple search engine was implemented in the code using fundamental concepts of Information Retrieval,the search engine helps you find the top movies so sit back relax,search for a movie and watch it!!!

Provide the basic functions and operators to build an application for click or tap stream analytic

This R code is an example of analyzing Clickstream Data using Markov Chains and data mining SPADE algorithm.

anyscale ecosystem core package tools

SCHAD Akka Producer for Kafka