Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/15022
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dc.contributor.authorJun, Sunghae-
dc.contributor.authorPark, Sang Sung-
dc.contributor.authorJang, Dong Sik-
dc.date.accessioned2012-11-14T17:24:53Z-
dc.date.available2012-11-14T17:24:53Z-
dc.date.issued2012-11-
dc.identifier.issn0975-1076 (Online); 0971-7544 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/15022-
dc.description539-546en_US
dc.description.abstractPatents are an integral part of intellectual property rights and contain substantial amounts of information on developed technologies. Thus, patent management plays an important role in addressing the competitive environment surrounding intellectual property rights. Technology forecasting is an important part of patent management. Any successful R&D strategy requires effective technology forecasting. This paper proposes a technology forecasting method based on various data mining techniques for analysing patents and a patent management approach using the result of technology forecasting. For case study, biotechnology-related patent documents from the US Patent and Trademark Office have been considered. The performance of the proposed method has been verified by this case study.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJIPR Vol.17(6) [November 2012]en_US
dc.subjectPatent managementen_US
dc.subjectTechnology forecastingen_US
dc.subjectBiotechnologyen_US
dc.subjectData mining techniqueen_US
dc.titlePatent Management for Technology Forecasting: A Case Study of the Bio-Industryen_US
dc.typeArticleen_US
Appears in Collections:JIPR Vol.17(6) [November 2012]

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