Cloud computing has become ubiquitous and is transforming the way computing works at scale. Cloud based data systems have evolved from basic infrastructure for data storage (under IaaS), to sophisticated platforms (under PaaS) that enable processing big and complex data. Such platforms often include data mining capabilities and machine learning models that enable numerous applications and services to run in the cloud. Several new cloud based machine learning platforms have emerged including Microsoft AzureML, Amazon ML framework, DataRobot, Dato, H2O and others and there is a rapidly growing applied data science community that is using such cloud platforms to conduct applied as well as theoretical advances.

The CLOUDMINE workshop aims to bring together researchers and practitioners working on cloud based data mining systems and applications. While the data mining community includes tracks and workshops to discuss research that implicitly leverages cloud based applications and scale, the CLOUDMINE workshop targets researchers who can discuss challenges faced by data mining systems and applications used for model building and deployments in the cloud.