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The Data Preprocessing the Questionnaire in Data Mining Model

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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.

Zhenfang HAN、Pengcheng MA、Ping WAN

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Hebei North University Zhangjiakou Hebei China

Hebei University of economics&business Shijiazhuang Hebei China

Questionnaire Data Mining Data preprocessing combined classification

中国通信学会

2011年亚太青年通信学术会议(APYCC2011)

2011-08-07

杭州

2011年亚太青年通信学术会议(APYCC2011)论文集

326-329

2011