期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：10
出版社：S&S Publications
摘要：We have learnt many lessons highlighting the fact that while the impact of employees with positivemind can surely put an organization on the trajectory of success, the presence of employees with negative attitude cannot only diffuse the already existing positive air but can halt the growth engine altogether and push the organizationinto disastrously irrecoverable state. Hence, understanding the minds of the employees is of paramount importance forinitiating proactive steps to sustain the growth momentum. The authors have evolved a model, explained in a step bystep tutorial manner, to read and classify employees’ attitude. The model employs K means clustering to construct anattitude reader and Rotation Forest to build an attitude classifier. Eventually, the model has been tested on a typicaldataset pertaining to employees involved in train operations
