Analysis and Prediction of Application Usage in Android Phones

Predictive Analytics analyze the present and the historical informations and make future predictions utilizing data mining or machine learning techniques. Predictive models usually check for some patterns and relationships leading to certain behaviours based on the dependent variables. This paper proposes a mechanism named Analysis and Prediction of Application Usage (APAU) in Android Phones for providing recommendations to a smart phone user while selecting applications of their interest like mail checking, messaging and making calls. APAU mainly focuses on identifying usage patterns and investigating the human behaviour during application selections by extracting the generic behavioural patterns to predict and provide useful set of recommendations.