Energy Based Logic Mining Analysis with Hopfield Neural Network for Recruitment Evaluation.

An effective recruitment evaluation plays an important role in the success of companies, industries and institutions. In order to obtain insight on the relationship between factors contributing to systematic recruitment, the artificial neural network and logic mining approach can be adopted as a data extraction model. In this work, an energy based satisfiability reverse analysis incorporating a Hopfield neural network is proposed to extract the relationship between the factors in an electronic (E) recruitment data set.

Amazon Employees Resources Access Data Extraction via Clonal Selection Algorithm and Logic Mining Approach.

Amazon.com Inc. seeks alternative ways to improve manual transactions system of granting employees resources access in the field of data science.