Research Area: Data Mining
According to the problem of the constant increase of internet data and the current Internet information retrieval system has been unable to meet the needs of data and information retrieval, this paper puts forward the data mining based Internet information retrieval system. The paper first uses data mining to excavate association rules, and evaluates the entire behavior simulation of users resources need according to a certain factor of user-s retrieval resources, and then uses bayesian network algorithm to correlate the mining data. Experimental simulation results show that the application of bayesian network algorithm into Internet information retrieval has implemented intelligence and personalization of information retrieval to a certain extent, which has certain research value.
Keywords:
resource retrieval
behavior pattern discrimination
bayesian algorithm
association rules mining
Author(s) Name: Li Jie-yi
Journal name:
Conferrence name: 2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA)
Publisher name: IEEE
DOI: 10.1109/IMSNA.2013.6743466
Volume Information:
