SOCIAL NETWORKS USER BEHAVIOR AND CLASSIFICATION TECHNIQUES

Authors

  • D.Sridhar Research Shcolar & Assistant Professor,Department Of Computer Science, Dr.SNSRCAS, Coimbatore Tamilnadu, India
  • Dr.V.Kathiresan HoD, Department of Computer Applications (PG), Dr.SNSRCAS, Coimbatore, Tamil Nadu, India

Keywords:

Web usage mining, Behavior Analysis, Mental Health Status, Machine Learning Algorithms

Abstract

Today human life is mainly fulfilled with digital devices like mobile phones, iphone, laptop, digital TV etc.,
in this internet plays a vital role. Social networks such as facebook, twitter, LinkedIn, whatsapp are making themselves to
be independent. In this busy world, using digital devices we can connect anytime anywhere in the world. Digital device
technologies still growing day by day with new trends and ideas. Now day’s internet is used like as a cable connection in
homes, buildings and famous places. The technologies like mobile shopping, Tele shopping, online marketing, online
booking, e- learning and Online Social Networks (OSN) like this step by step has improved according to the modern life.
It is very beneficial to the user but it also leads to internet addiction and depression, variation in mental health status of
day to day life.

Published

2018-04-25

How to Cite

D.Sridhar, & Dr.V.Kathiresan. (2018). SOCIAL NETWORKS USER BEHAVIOR AND CLASSIFICATION TECHNIQUES . International Journal of Advance Engineering and Research Development (IJAERD), 5(4), 966–970. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/3197