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It is time to prepare for the future: forecasting social trends
conference contribution
posted on 2023-05-23, 07:09 authored by Han, SC, Hyunsuk Chung, Byeong KangByeong KangA social issue is what arises when the public discuss a specific event. Recently, many large Internet based service companies provide new trends services that display the emerging issues based on their data, for example, Google displays “top 10 most searched topics” every hour. Those emerging issues reflect the trend of public interest. Forecasting those issues helps the user to prepare for the future. In this paper, we present our research on proposing the social issue-forecasting model. To do so, we first collected social issue keyword from Google Trends for 3 months since it is based on the large scale of public data. We apply the k-nearest neighbor algorithm, which is the pattern recognition technology for recognizing the complex patterns and trends. To improve the accuracy, we applied Ripple Down Rules.
History
Publication title
Proceedings of International Conferences EL, DTA and UNESST 2012 (Computer Applications for Database, Education, and Ubiquitous Computing)Editors
TH Kim, J Ma, WC Fang, Y Zhang and A CuzzocreaPagination
325-331ISBN
978-3-642-35602-5Department/School
School of Information and Communication TechnologyPublisher
Springer- VerlagPlace of publication
Berlin, HeidelbergEvent title
International Conferences EL, DTA and UNESST 2012 (Computer Applications for Database, Education, and Ubiquitous Computing)Event Venue
Gangneug, KoreaDate of Event (Start Date)
2012-12-16Date of Event (End Date)
2012-12-19Rights statement
Copyright 2012 SpringerRepository Status
- Restricted