The Data Preprocessing the Questionnaire in Data Mining Model

In the course of the questionnaire survey, somephenomenon-the slipping up in the works of theinvestigators;the unwilling of the respondents, theimproper choice of the sampling methods, and theunreasonable designing of the questionnaire-may causethe noisy, missing and inconsistent data. In order toimprove the quality of the data and, consequently, of theresearching results, it is important to preprocess the databy data cleaning, data integration and transformation,data reduction, etc.In this paper,based on the theory of Bates and Granger combination of time series forecasting, usingClementine data mining software, Establish combination classified data mining model, to ”Affects ChineseInterpersonal relationship Harmonious Factor Questionnaire” carries on the classified pretreatment.
Questionnaire Data Mining Data preprocessing combined classification
Zhenfang HAN Pengcheng MA Ping WAN
Hebei North University Zhangjiakou Hebei China Hebei University of economics&business Shijiazhuang Hebei China
国内会议
杭州
英文
326-329
2011-08-07(万方平台首次上网日期,不代表论文的发表时间)