New technology management using time series regression and clustering
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, S.S. | - |
dc.contributor.author | Jun, S. | - |
dc.date.accessioned | 2021-09-07T04:24:07Z | - |
dc.date.available | 2021-09-07T04:24:07Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 1738-9984 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/110732 | - |
dc.description.abstract | Technology can be defined diversely according to the ways of its usage. In this paper, we define technology as a tool making new product and service using the developed results of science and engineering for improving the quality of human life. Technology management (TM) is important factor in the business planning of a company. Many companies have performed TM for developing new products and protecting their intellectual properties (IP). Patent is a typical IP, so we propose a TM approach using new patent analysis method. In this paper, we combine time series regression and clustering techniques. To assess the performance of our research, we will make experiment using the biotechnology patent data from the United State Patent and Trademark Office. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.title | New technology management using time series regression and clustering | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, S.S. | - |
dc.identifier.scopusid | 2-s2.0-84866900467 | - |
dc.identifier.bibliographicCitation | International Journal of Software Engineering and its Applications, v.6, no.2, pp.155 - 160 | - |
dc.relation.isPartOf | International Journal of Software Engineering and its Applications | - |
dc.citation.title | International Journal of Software Engineering and its Applications | - |
dc.citation.volume | 6 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 155 | - |
dc.citation.endPage | 160 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Clustering | - |
dc.subject.keywordAuthor | Patent analysis | - |
dc.subject.keywordAuthor | Regression analysis | - |
dc.subject.keywordAuthor | Technology management | - |
dc.subject.keywordAuthor | Time series model | - |
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