Title :
Analysis of Technology Trends Based on Big Data
Author :
Segev, Aviv ; Chihoon Jung ; Sukhwan Jung
Author_Institution :
Dept. of Knowledge Service Eng., KAIST, Daejeon, South Korea
fDate :
June 27 2013-July 2 2013
Abstract :
The paper suggests a method for analyzing technology trends. The process, which investigates development of technologies over time, identifies main technologies displaying the fastest growth compared to greater influence of new inventions. The method analyzes term frequency and change over time of technological terms in patents to identify the prior technologies that lead to a new technology and detects technologies that have the biggest impact. The analysis was performed on 4,354,054 patents from the US Patent Office dating from 1975 until today. Some correlation is displayed between technology trends and future US stock market performance.
Keywords :
data analysis; patents; stock markets; US Patent Office; big data; future US stock market performance; technology trend analysis; term frequency analysis; Chemicals; Conferences; Electronic mail; Information retrieval; Market research; Patents; Stock markets; patent; technology impact; technology trend; trend analysis;
Conference_Titel :
Big Data (BigData Congress), 2013 IEEE International Congress on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5006-0
DOI :
10.1109/BigData.Congress.2013.65
