Computer Science ›› 2016, Vol. 43 ›› Issue (9): 91-98.doi: 10.11896/j.issn.1002-137X.2016.09.017

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Association Rules Mining on Schema-level Interconnected Associated Data

YUAN Liu and ZHANG Long-bo   

  • Online:2018-12-01 Published:2018-12-01

Abstract: A schema-level interconnected association rules mining method for large scale associated data was proposed based on the semantic information implied in the associated data set.Instead of mining association rules from separated RDF data sets directly, firstly,we established schema-level linkage between different data sets.The RDF data item pattern generation rules are defined based on the schema-level linked datasets and then the RDF data query techniques are exploited for constructing RDF data items sets.The proposed data item patterns generation rules can extend the data mining objects from a single data set to multi-datasets in the same domain.A Hadoop based implementation plan of association rules mining was designed.The experiment results prove the value of establishing schema-level linkage on linked data and the effectiveness of the proposed method.

Key words: Semantic big data,Associated data,Ontology,RDF,Association rules

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