Towards Cooperative Planning of Data Mining Workflows

Towards Cooperative Planning of Data Mining Workflows

inproceedings
Abraham Bernstein, Jörg-Uwe Kietz, Floarea Serban, Simon Fischer
A ma jor challenge for third generation data mining and knowledge discovery systems is the integration of different data mining tools and services for data understanding, data integration, data preprocessing, data mining, evaluation and deployment, which are distributed across the network of computer systems. In this paper we outline how an intelligent assistant that is intended to support end-users in the difficult and time consuming task of designing KDD-Workflows out of these distributed services can be built. The assistant should support the user in checking the correctness of workflows, understanding the goals behind given workflows, enumeration of AI planner generated workflow completions, storage, retrieval, adaptation and repair of previous workflows. It should also be an open easy extendable system. This is reached by basing the system on a data mining ontology (DMO) in which all the services (operators) together with their in-/output, pre-/postconditions are described. This description is compatible with OWL-S and new operators can be added importing their OWL-S specification and classifying it into the operator ontology.
Towards Cooperative Planning of Data Mining Workflows
2009
Proc of the ECML/PKDD09 Workshop on Third Generation Data Mining: Towards Service-oriented Knowledge Discovery (SoKD-09)
ddis