Open AccessGender Based Smartphone Addiction and A ftermath i n F amily Relations
Author(s) -
Anjaly K.*,
M Anjana,
V. Rajalakshmi
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.e2873.039520
Subject(s) - smart phone , naive bayes classifier , phone , logistic regression , consumption (sociology) , internet privacy , computer science , work (physics) , computer security , business , telecommunications , engineering , artificial intelligence , machine learning , sociology , support vector machine , social science , linguistics , philosophy , mechanical engineering
There are distinct modes for communication. Smart phones played an essential role in this era. Smart phones that can also be worked as computer and helps us to do a limited amount of work. According to statistics there are 3.3 billion smart phone users in the world. It also becomes extremely helpful for study purpose and for official purpose. They often create fewer bonds with their family. Due to surplus use of phone it made ravage in family relationship. Thus the usage of smart phone results in considerable deviation in family relationship .This paper deals with gender based smart phone addiction and effect on family relationships. The paper focuses on predictive methods like naive bayes, Knn and logistic regression to find out how the smart phones are going to create an impact in family relations. This helps to find smart phones effects in family relationship. The problems due to high consumption of it can be identified and future precautions can be taken immediately according to it.