The Research And Application On Data Mining Of Group Events Case Based On Ontology

With the rapid development of China’s economic and the transformationof society, various groups events occur frequently in recent years and makegreat bad effect to people’s normal production and life.However, currentdecision-makers’ treatment effect was not very effective. Thus, it is a hotresearch point for many scholars to study how to deal with the evolution ofgroup events and group events.At the same time, the rapid spread of the Internet has provided peoplewith a platform to express their personal demands, and the network publicopinion also become popular in academic circles. The network public opinionis a double edged sword. On the one hand, it can help disadvantaged groups toresolve the demands from the other. On the other hand, the network can beused by bad man and cause greater losses, such as the Japanese earthquake-drived salt grabing events. Thus, this paper focus on the relationship betweengroups and group event and online attention and study the relationship between the features of event and the online attention.Based on the points above, we analysised typical cases of group event andestablished the group event case set since2010. Secondly, based on the groupevent domain knowledge, we established the group event with theinheritance relationship. Again, the paper combine the ID3algorithm and theontology and formed the ID3improved algorithm based on ontology. Finally,the paper use the improved ID3algorithm based on ontology analysised therelationship between the factors events and online attention, obtained theclassification rules and come up with a series of feasible suggestions on thepublic opinion for the group event warning.