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Ontology Driven Data Mining

Ontology Driven Data Mining. A.K. Sinha Dept. Of Geo Sciences Virginia Tech. Satish Tadepalli Dept. Of Computer Science Virginia Tech. Ontology-Driven Data Mining. Data Mining: Analysis of observational data sets to find unsuspected relationships and to summarize the data in novel ways

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Ontology Driven Data Mining

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  1. Ontology Driven Data Mining A.K. Sinha Dept. Of Geo Sciences Virginia Tech Satish Tadepalli Dept. Of Computer Science Virginia Tech

  2. Ontology-Driven Data Mining • Data Mining: • Analysis of observational data sets to find unsuspected relationships and to summarize the data in novel ways • Ontology • Represents domain knowledge • Relationships between concepts in a domain • Ontology-driven data mining • Use the knowledge represented by ontologies to create a hierarchical structure in the data • Apply data mining techniques on the structured data sets

  3. GeoROC Database(http://georoc.mpch-mainz.gwdg.de/)

  4. Broad tectonic classification of GeoROC Data set for applying Data mining Techniques

  5. Structuring the data sets based on ontology

  6. Correlation Analysis

  7. Classification Using Neural Networks Present day Plate Tectonic settings and associated data are the key to recognizing paleo-tectonic settings of rocks.

  8. Ongoing Research • Data mining of spatial data sets using Gaussian processes • Sparse data mining

  9. Conclusion • Ontology driven data mining • Meaningful patterns at multiple levels of abstraction • Multiple views of same data set • Ease in choosing the relevant data sets for comparison

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