Association Rules On Analysis Of Television Audience Based On GA

The audience to mass communication, is in the receiver, generally refers to receive information through mass media, including newspapers, radio audience, readers and Internet TV audience . Because the audience is the communication activity destination, people constantly improve the transmission medium, as well as the contents, In order to be able to let the audience was maximally accept the contents, In order to achieve the best effect of the transmission. So the audience research has been in mass communication research has important position. With more and more larger audience survey, More detailed investigation contents, for one of the data analysis of the effective becomes more important.Data mining is also called database knowledge discovery. From the large, incomplete, noise, and the practical application of random data. Extract implicit in advance, and people don't know, but also potentially useful information and knowledge.Based on genetic algorithm is presented in this paper in the audience of association rules, For the purpose of audience analysis process of data processing, fast and accurate analysis of the type. Based on the analysis of the data, extract,numerous association rules. This includes implied, are not expected to new relationships.First, based on data mining association rules mining technology and the development of the research on current situation, Then the classic of association rules algorithm by analyzing of Apriori algorithm, In the algorithm, The genetic algorithm and the related rules based on genetic algorithm, get the association rules. The core of the algorithm is through the choice of genetic algorithm, the crossover and mutation to seek optimal solution, To reduce the number of large database of scanning, obtain higher efficiency of mining.The second ,on the basis of the research, design and realization on two separate Apriori algorithm and genetic algorithm for the core visual mining tool prototype. In mining tools in the visualization, users can dig for two algorithms of mining technology were compared.Finally the algorithm used in the analysis of the audience, and before that was found between factors, hidden in a relationship. Hidden factors in the relationship, and in the analysis, found this to conceal relationship in the research field that new audience, can play important role. In between the various factors of association rules based on communication activity, and then can basis, then spread to modify content dissemination way, in order to achieve the best effect of the transmission.