Lack Of Data Processing In The "green Mine" Application

"Green mine" is to protect the ecological environment, reduce energy consumption, andthe pursuit of resources recycling economy as the goal, the concept of green ecologicalthroughout to the development and utilization of mineral resources process.To realize the mine data mining research needs to complete data, so must deal with theabsence of mine data value. In order to solve in mine data analysis of the problem occurs whenthe lack and on the analysis of the commonly used data loss packing method based on theadvantages and disadvantages, use of SPSS software data missing value of data processingmodule missing mechanism analysis, the average method, the weighted average method,linear regression method, the maximum expected method, multiple fill method, the method ofuncertainty and randomness inserted by lost data, to the interpolation results are compared,and realize the objective and accurate results.This paper mainly work are as follows:1. The lack of data to fill various kinds of methods (including algorithms) in-depth study.2. The missing data for the mine are analyzed, and the points discussed module, will stayassessment data mining can be divided into four modules--economic data module, resourcedata module, energy data module, environmental data module. Will different data processingmethod applied to lack in mine data analysis. According to the analysis, draw the correspondingconclusion.3. Based on the above work, with SPSS to achieve the above data analysis results contrasttest data to fill analysis.