The virtual join based on tuple ID propagation can reduce storage space and increase the efficiency of multi-relational data mining.

By taking advantage of tuple ID propagation approach,this algorithm could directly mine frequent pattern in multi-relation without physical join.

The concept of oriented graphic used to dynamic choice most superior key table,and a tuple ID propagation approach is used to solve directly the association rule mining problem with multiple database relations,and the concept of user\'s guidance is introduced.

IMRDTL algorithm makes use of the tuple ID propagation for speeding up the efficiency of MRDTL-2 algorithm, meanwhile, generalized naive Bayes classifier is used to fill in missing attribute values, so the algorithm can provide a better accuracy.

On the spread features of powerful culture;

The Spread of Maize and the Relevant Questions in Sichuan During the Qing Dynasty;

Research Progress of Spread and Prevention Mechanism of Plant Virus Disease;

Theoretical research on propagation law of acoustic emission wave in coal seam containing gas;

Computer emulation on the propagation of radio wave in the tunnel;

Correlation research between SARS propagation incidence and concentration of inhalable particulates in air in Guangzhou;