Model Validation and Verification of Data Mining from the Knowledge Workers Productivity Approach

Improving validation and verification (vv) has been one of the most important tasks of the century. However, we have few measures or management interventions to make such improvement possible, and it is difficult to identify patterns that should be followed by developers because systems and processes in an organization are often regarded as a death blow to creativity. To improve vv, it first must be measured, and then its future should be defined. In this paper, we seek to present a hybrid method for Model Validation and Verification of Data Mining from the Knowledge Workers Productivity Approach. It is hoped that this paper will help managers to implement different corresponding measures. A case study is presented where this model measure and validates at the Alupan company.