Semantically Informed Data Mining Task

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A Semantically Informed Data Mining Task is a Data Mining Task that includes a Knowledge Base.



References

  • http://sadm2010.isti.cnr.it/
    • Third International Workshop on Semantic Aspects in Data Mining (SADM'10)
    • Workshop Description: The objective of SADM is to introduce standardized formal methods which can explicitly consider data semantics, background knowledge, or reasoning in the mining process. This knowledge has to be represented/formalized in a knowledge repository, such as ontologies,conceptual schemas, knowledge bases, etc. The main aspect is that this knowledge has to be explicitly incorporated into the KDD process, where the algorithms for data preprocessing,data mining or post-processing make use of this knowledge to improve the KDD process. The key idea is to develop a more general understanding about how to exploit data semantics and background knowledge, and to create standardized procedures for designing more intelligent data mining methods. We believe that such an effort can lead to the development of the science of semantic data mining.