Description
Datalab is a pioneer in streaming distance-based outlier detection and contributes outlier detection functionalities to the well-known “MOA Machine Learning for Streams” tool.
MOA is the most popular open source framework for data stream mining, with a very active growing community (blog). It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation. Related to the WEKA project, MOA is also written in Java, while scaling to more demanding problems.
People
- Theodoros Toliopoulos
- Dimitrios Georgiadis
- Maria Kontaki
- Anastasios Gounaris
- Apostolos N. Papadopoulos
- Kostas Tsichlas
- Yannis Manolopoulos