Extensibility in data mining systems
作者： Werner Emde , Dietrich Wettschereck , Stefan Wrobel , Edgar Sommer
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摘要: The successful application of data mining techniques ideally requires both system support for the entire knowledge discovery process and right analysis algorithms particular task at hand. While there are a number systems that process, they usually limited to fixed selection algorithms. In this paper, we argue in favor extensibility as key feature systems, discuss requirements entails architecture. We identify which points existing fail meet these requirements, then describe new integration architecture addresses problems based on concept "plug-ins". KEPLER, our built according architecture, is presented discussed.
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