|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 116 - Number 10
|Year of Publication: 2015
|Authors: P. Julia Grace, N. Nasreen Banu
P. Julia Grace, N. Nasreen Banu . Machine Learning on Emotional Intelligence and Work Life Balance. International Journal of Computer Applications. 116, 10 ( April 2015), 36-39. DOI=10.5120/20376-2597
Emotions are an essential part of our biological makeup, and every morning they march into the office with us and influence our behavior. Our ultimate focus is on Emotional Intelligence (EI) and we combine with data mining technology. Dealing with employees emotions using different machine learning techniques is one of the phenomenal researches in today's world. Here, we examine how far the employees are conscious of their own self and found the ideas and views of an individual about themselves and others. Without proper knowledge about their personality it will be very difficult for an individual to manage their own emotions. This study aims at finding out the individual abilities to manage their emotions in order to perform well. The clustering and classification techniques are applied on same dataset of human emotions, which deals with different types of analysis.