Research on marketing data mining model based on decision tree algorithm

Wenyu Gao
School of Economics and Management, Economics Management Cadre Institute of Jilin Province, Changchun,130012, Jilin, China

Abstract:

Aiming at the problems of low mining precision and long time in the current marketing data mining model, a marketing data mining model based on decision tree algorithm is studied. Analysis decision tree algorithm overview and generation algorithm and pruning algorithm, through the clustering algorithm in data mining technology, the marketing data is characterized by clustering, so as to classify the marketing data features. Use high-order statistics to set up a model to extract the features of compensation parameters to achieve feature extraction of marketing data. The extracted marketing data features are divided into subsets, and based on the decision tree algorithm, a marketing data mining model is constructed to realize marketing data mining. The experimental results show that the proposed method has high precision in marketing data mining and can effectively shorten the time of marketing data mining.