Orange: from experimental machine learning to interactive data mining
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
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DS'11 Proceedings of the 14th international conference on Discovery science
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The Computer Journal
Scalable script-based data analysis workflows on clouds
WORKS '13 Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science
Ensemble-based noise detection: noise ranking and visual performance evaluation
Data Mining and Knowledge Discovery
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This paper presents an open cloud based platform for composition, execution, and sharing of interactive data mining workflows. It is based on the principles of service-oriented knowledge discovery, and features interactive scientific workflows. In contrast to comparable data mining platforms, our platform runs in all major Web browsers and platforms, including mobile devices. In terms of crowdsourcing, ClowdFlows provides researchers with an easy way to expose and share their work and results, as only an Internet connection and a Web browser are required to access the workflows from anywhere. Practitioners can use ClowdFlows to seamlessly integrate and join different implementations of algorithms, tools and Web services into a coherent workflow that can be executed in a cloud based application. ClowdFlows is also easily extensible during run-time by importing Web services and using them as new workflow components.