Analysis of Technology Trends Based on Big Data, IEEE International Congress on Big Data

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dc.contributor.authorSegev, Avivko
dc.contributor.authorJung, Chihoonko
dc.contributor.authorJung, Sukhwanko
dc.date.accessioned2014-08-28T06:16:08Z-
dc.date.available2014-08-28T06:16:08Z-
dc.date.created2014-01-10-
dc.date.created2014-01-10-
dc.date.created2014-01-10-
dc.date.issued2013-06-
dc.identifier.citationIEEE International Congress on Big Data, pp.419 - 420-
dc.identifier.urihttp://hdl.handle.net/10203/188035-
dc.description.abstractThe 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.-
dc.languageEnglish-
dc.publisherIEEE Computer Society-
dc.titleAnalysis of Technology Trends Based on Big Data, IEEE International Congress on Big Data-
dc.typeConference-
dc.identifier.wosid000332528300058-
dc.identifier.scopusid2-s2.0-84886074550-
dc.type.rimsCONF-
dc.citation.beginningpage419-
dc.citation.endingpage420-
dc.citation.publicationnameIEEE International Congress on Big Data-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationSanta Clara, CA-
dc.identifier.doi10.1109/BigData.Congress.2013.65-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorSegev, Aviv-
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