Tracking information on future interests/events Using web mining, predictive analysis and semantic web

ANKIT, SHARMA (2014) Tracking information on future interests/events Using web mining, predictive analysis and semantic web. In: International Conference on Advances In Applied Science and Environmental Engineering - ASEE 2014, 02 - 03 August, 2014, Kuala Lumpur, Malaysia.

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Abstract

This paper explains the implementation of a mobile application solution on iOS to track future events and interests relevant to brands, weather, entertainment, leisure, persons followed, disaster, etc. and throw fragmented information threads to users using predictive analysis, push notifications, concepts of web mining and semantic web. Public APIs and XML, Json feeds have been used to gather data and push technology transfers processed information threads matched with objects of interests based on the user's predictive analysis. The utility of such a system is to rush the tracked information to the individuals in real time for better activity scheduling and informed decision making. The user's social graph, online activity, mobile data, time of day, location, historical search patterns are selectively accessed for insights into user's behavioral patterns to estimate user's future interests hierarchy. The solution can also be used to generate useful analytics for enterprises.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: push notification, predictive analysis, mobile iOS app development, semantic web, web mining
Depositing User: Mr. John Steve
Date Deposited: 27 May 2019 08:00
Last Modified: 27 May 2019 08:00
URI: http://publications.theired.org/id/eprint/2770

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