skrusche63 / spark-arules
This 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.
☆31Updated 10 years ago
Alternatives and similar repositories for spark-arules:
Users that are interested in spark-arules are comparing it to the libraries listed below
- This project provides sequential pattern mining for Apache Spark. The algorithms are based on the work of Philippe Fournier-Viger and co…☆30Updated 10 years ago
- Topic Modeling on Apache Spark☆95Updated 6 years ago
- Spark Extension : ML transformers, SQL aggregations, etc that are missing in Apache Spark☆147Updated 9 years ago
- Assembly of fundamental statistics implemented based on Apache Spark☆31Updated 9 years ago
- Spark library for doing exploratory data analysis in a scalable way☆43Updated 9 years ago
- An Apache Spark-shell backend for IPython☆105Updated 3 years ago
- Another, hopefully better, implementation of ALS on Spark☆14Updated 9 years ago
- Scalable implementation of artificial neural networks for Spark deep learning☆38Updated 8 years ago
- Factorization Machines on Spark and Glint☆25Updated 8 years ago
- Implementation of the Apriori algorithm using Spark.☆38Updated 10 years ago
- Topic Modeling with LDA in Scala and Spark☆31Updated 6 years ago
- Global Vectors for Word Representation on spark☆35Updated 10 years ago
- ☆41Updated 7 years ago
- A curated inventory of machine learning methods available on the Apache Spark platform, both in official and third party libraries.☆65Updated 7 years ago
- MLeap allows for easily putting Spark ML pipelines into production☆78Updated 8 years ago
- Locality Sensitive Hashing for Apache Spark☆195Updated 8 years ago
- Sparse feature extraction with Spark☆30Updated 6 years ago
- Scala/Spark implementation of Distributed Nearest Neighbours Mean Shift using LSH☆30Updated 5 years ago
- Zeppelin notebook examples☆26Updated 9 years ago
- Distributed Matrix Library☆71Updated 8 years ago
- Spark implementation of Fayyad's discretizer based on Minimum Description Length Principle (MDLP)☆43Updated 2 years ago
- An example of running Apache Spark using Scala in ipython notebook☆140Updated 9 years ago
- A spark package for loading Spark ML models to Redis-ML☆63Updated 5 years ago
- Building Annoy Index on Apache Spark☆72Updated 4 years ago
- Interactive Audience Analytics with Spark and HyperLogLog☆55Updated 9 years ago
- Splash Project for parallel stochastic learning☆94Updated 7 years ago
- Distributed Streaming Matrix Factorization implemented on Spark for Recommendation Systems☆106Updated 8 years ago
- ☆111Updated 7 years ago
- Training materials for Strata, AMP Camp, etc☆150Updated 9 years ago
- Java implementation of the Microsoft's AdPredictor algorithm☆17Updated 7 years ago