Articles by Hendrik Muhs

Software Engineer, Elastic

Hendrik Muhs is a software engineer at Elastic. He is a member of the machine learning team. Before joining Elastic he spent more than a decade as backend engineer in the search space hacking on e.g., NLP, ranking, scale, and autocompletion.


How we implemented frequent item set mining in Elasticsearch

Frequent item sets implements one of the best known data mining methods. This aggregation discovers regularities in data and has many use cases, but the challenge is to implement it efficiently. Here, we'll show how we approached the implementation.


On-demand forecasting with machine learning in Elasticsearch

The newest X-Pack feature in 6.1 is on-demand forecasting. Machine learning can model the data and predict multiple time intervals into the future.