Data Mining Based on Ontology in the Dynamic Forensics
Zhou Hai-chen · Journal of Liaocheng University · 2011
Dynamic forensics will inevitably produce large amounts of disorganized data.The data have many drawbacks such as non-uniform format.The paper proposed the high-precision data mining model based on ontology.According to the excavation results,the model can provide early-warning services.The paper specified the process of data mining based on ontology using association rules and used Bayesian network model to calculate the correlation degrees between ontologies and realize the association mining.The efficiency and accuracy of spam filtering are improved.