A new ontology based association rules mining algorithm

作者：Zhu Peng; Jia Fei

来源：Journal of Theoretical and Applied Information Technology, 2012, 45(1): 192-197.

• Association rules mining
• Data mining techniques
• Domain ontologies
• Frequent item sets
• Hash table
• Ontology-based
• Semi-structured
• Tree-based
• XML data
• XML mining

For traditional data mining techniques cannot be directly applied to the semi-structured XML data mining problem, this paper proposes a novel ontology and association rules based XML mining algorithm. The algorithm firstly introduces the domain ontology and hash technology to improve the operation of emerging frequent item sets and generating association rules, then uses a hash table to store the domain ontology, and at last the algorithm transforms the operation of the database into memory tree based on XML. Simulation results show that the algorithm can effectively reduce the size of XML documents and the association rules is easier to understand, so the advantages of the algorithm are shown.

• 出版日期2012
• 单位南京理工大学