Data Mining Estimation. Point Estimation 2 POINT ESTIMATIONPOINT ESTIMATE An estimate of a population parameter given by a single number is called point estimatePOINT ESTIMATOR A point estimator is a statistic for Estimating the population Parameter ө and will be denoted by ө* 3.

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PDF filefor accurate estimation Data mining helps us to classify the past project data and generate the valuable information These information is applied in cost estimation model COCOMO II and will generate the accurate estimation on the bases of past project data For analyzing the data the analytical tool is Data mining.

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Data envelopment analysis and data mining methodology The framework starts with DEA computation of the performance of each bank and the efficiency scores obtained are grouped accordingly into efficient banks (efficiency score of 1 target = 1) and inefficient banks (efficiency score less than one target = 0).

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Data mining is the process of uncovering patterns and finding anomalies and relationships in large datasets that can be used to make predictions about future trends The main purpose of data mining is to extract valuable information from available data.

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Data mining refers to digging into or mining the data in different ways to identify patterns and get more insights into them It involves analyzing the discovered patterns to see how they can be used effectively In data mining you sort large data sets find the required patterns and establish relationships to perform data analysis.

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PDF fileSo we can concluded that we are using datamining for 20 years nowadays there is not an estimation method for datamining projects In this paper we propose the cost drivers for a parametric estimation method for generic datamining projects We call the method DMCOMO (Data Mining Cost Model) DMCOMO cost drivers.