Paper Info
Title
A Forecasting Model for Technological Trend Using Unsupervised Learning.
Abstract
Many results of the developed technologies have applied for patents. Also, an issued patent has exclusive rights granted by a government. So, all companies in the world have competed with one another for their intellectual property rights using patent application. Technology forecasting is one of many approaches for improving the technological competitiveness. In this paper. we propose a forecasting model for technological trend using unsupervised learning. In this paper, we use association rule mining and self organizing map as unsupervised learning methods. To verify our improved performance, we make experiments using patent documents. Especially, we focus on image and video technology as the technology field.
Year
DOI
Venue
2011
10.1007/978-3-642-27157-1_6
Communications in Computer and Information Science
Keywords
Field
DocType
Image and video technology,Technology forecasting,Unsupervised learning,Association rule mining,Self organizing map
Technology forecasting,Data science,Patent application,Self-organizing map,Association rule learning,Unsupervised learning,Intellectual property,Engineering,Exclusive right,Government
Conference
Volume
ISSN
Citations 
258
1865-0929
1
PageRank 
References 
Authors
0.37
7
1
Name
Order
Citations
PageRank
Sung-Hae Jun19511.79