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공공누리This item is licensed Korea Open Government License

Title
Technology trends analysis and forecasting application based on decision tree and statiscial feature analysis
Author(s)
김진형정도헌정한민황명권
Publication Year
2012-05-17
Abstract
Analyzingmassinformationandsupportingforesightareveryimportanttaskbuttheyareextremely
time-consumingwork.Inaddition,informationanalysisandforecastingaboutthescienceandtechnology
arealsoverycriticaltasksforresearchers,governmentofficers,businessman,etc.Somerelatedstudies
recentlyhavebeenexecutedandsemi-automatictoolshavebeendevelopedactively.Many
researchers,annalists,andbusinessmenalsogenerallyusethosetoolsforstrategicdecisionmaking.
However,existingprojectsandtoolsarebasedonsubjectiveopinionsfromseveralexpertsandmost
oftoolssimplyexplaincurrentsituations,notforecastingnearfuturetrends.Therefore,inthispaper,
weproposeatechnologytrendsanalysisandforecastingmodelbasedonquantitativeanalysisandseveral
textminingtechnologiesforeffective,systematic,andobjectiveinformationanalysisandforecasting
technologytrends.Additionally,weexecuteacomparativeevaluationbetweenthesuggestedmodeland
Gartner’sforecastingmodelforvalidatingthesuggestedmodelbecausetheGartner’smodeliswidelyand
generallyusedforinformationanalysisandforecasting.
Keyword
Technologytrendsanalysis; technologytrendsforecasting; featureanalysis; decisionmaking; strategicintelligence
Journal Title
ExpertSystemswithApplications
Citation Volume
39
ISSN
0957-4174
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/13995
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