1. Spark ElasticThis project combines Apache Spark and Elasticsearch to enable mining & prediction for Elasticsearch.
4. Spark ArulesThis project provides association rule mining for Apache Spark. The algorithms are based on the work of Philippe Fournier-Viger and comprise his TOP-K and TOP-K NR algorithm. Both algorithms do no longer depend on the minimum support parameter and increase the usability of association rule analysis tremendously.
5. spark-fsmThis project provides sequential pattern mining for Apache Spark. The algorithms are based on the work of Philippe Fournier-Viger and comprise his SPADE and TSR algorithm. This enables to perform sequential pattern and also sequential rule mining.
7. customermlCustomerML is an open source customer science platform leveraging the power of Predictiveworks and fully integrated with Elasticsearch and Shopify. CustomerML starts with proven RFM analysis and combines the results with machine learning thereby providing a deep customer understanding.