Main Reference PaperLatent Ability Model: A Generative Probabilistic Learning Framework for Workforce Analytics, IEEE Transactions on Knowledge and Data Engineering, 2018.[Python]
  • The Latent Ability Model (LAM) proposed to analysis the workforce and activity-logs of the employees. It computes the match up score between the employee and the activity that estimates the employee satisfaction level. Then, it builds the prediction models to predict the employee performance, compare the employee ability, and quality estimation of employee-activity.

Description
  • The Latent Ability Model (LAM) proposed to analysis the workforce and activity-logs of the employees. It computes the match up score between the employee and the activity that estimates the employee satisfaction level. Then, it builds the prediction models to predict the employee performance, compare the employee ability, and quality estimation of employee-activity.

  • To model latent relation between employees and assigned activities

  • To construct the predictive distribution based on the activity log

Aim & Objectives
  • To model latent relation between employees and assigned activities

  • To construct the predictive distribution based on the activity log

  • To develop the system for handling the complex and large-scale data

Contribution
  • To develop the system for handling the complex and large-scale data

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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