Contingency Table Automatic Data Mining Based on Multinomial Model

Abstract

This paper presented an automatic data mining method of multinomial model list to solve the problem of losing the information of tabular data in data mining. On the basis of the location of the vantage point in the original table, the introduction of MPT model and the structure of the algorithm, this paper proceeded an automatic tree model fitting and clustering grouping to the original data, then used some correlation theory about multinomial processing tree model to generate a set of hypothesized relationships to be elected , and finally completed the estimation of parameter and the goodness-of-fit test. The example showed that the algorithm is more effective and accurate in extracting the missing information and specific rules of tabular data mining.