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Paper ID: 2982

A Distributed Architecture for Data Mining and Integration
Atkinson,M.P van Hemert,J.I Han,L Hume,A Liew,C

Appeared in: DATA-AWARE DISTRIBUTED COMPUTING (DADC'09) (In conjunction with the 18th International Symposium on High Performance Distributed Computing )
Page Numbers:
Publisher: N/A
Year: 2009
ISBN/ISSN:
Contributing Organisation(s):
Field of Science: e-Science

URL:

Abstract: This paper presents the rationale for a new architecture to support a signiï¬Åcant increase in the scale of data integration and data mining. It proposes the composition into one framework of (1) data mining and (2) data access and integration. We name the combined activity âÄúDMIâÄù. It supports enactment of DMI processes across heterogeneous and distributed data resources and data mining services. It posits that a useful division can be made between the facilities established to support the deï¬Ånition of DMI processes and the computational infrastructure provided to enact DMI processes. Communication between those two divisions is restricted to requests submitted to gateway services in a canonical DMI language. Larger-scale processes are enabled by incremental reï¬Ånement of DMI-process deï¬Ånitions often by recomposition of lower-level deï¬Ånitions. Autonomous types and descriptions which will support detection of inconsistencies and semi-automatic insertion of adaptations.These architectural ideas are being evaluated in a feasibility study that involves an application scenario and representatives of the community.

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