Affiliation:
1. Texas A&M University-Corpus Christi, Corpus Christi, USA
Abstract
This article describes how it is impractical for a person to remember everything that they do on a day-to-day basis. To address this issue, an android location based reminder system (SmartNotify) that function on users' activities and points of interest are developed. SmartNotify automatically updates preferences of the user based on location behavior on a daily basis using validation from the stay detection algorithm. In addition, SmartNotify provides suggestions for the best locations that people visit frequently in the nearby area by making use of the DBSCAN algorithm and the Apriori algorithm. The utilization of data mining techniques in the android application makes the reminder application more efficient than the traditional way of notifying the user about their events.
Reference31 articles.
1. Mining association rules between sets of items in large databases
2. Android Developer. (n.d.). Android studio. Retrieved May 19, 2017 from https://developer.android.com
3. Androidauthority. (n.d.). Reminders. Retrieved May 19, 2017 from www.androidauthority.com
4. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献