DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Maeng, Sung-Hyon | - |
dc.contributor.advisor | 맹성현 | - |
dc.contributor.author | Oh, Heung-Seon | - |
dc.contributor.author | 오흥선 | - |
dc.date.accessioned | 2011-12-30 | - |
dc.date.available | 2011-12-30 | - |
dc.date.issued | 2009 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=393097&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/55080 | - |
dc.description | 학위논문(석사) - 한국정보통신대학교 : 공학부, 2009.2, [ vi, 47 p. ] | - |
dc.description.abstract | Automatic trend analysis from a collection of time-stamped documents, like patents, news papers, and blog pages, is a challenging research problem. Past research in this area has mainly focused on showing a trend line of a given concept over time by considering trend-associated term frequency information. Emerging trends were detected by checking a simple criterion such as frequency change or by recognizing a deviation from ordinary curves. We note that in order to show most salient trends detected among many possibilities, it is critical to devise a ranking function for trend lines. To this end, we define four properties of trend lines drawn from frequency information, to quantify various aspects of trends, and propose a method by which trend lines can be ranked. The properties are examined individually and in combination in a series of experiments for their validity using the ranking algorithm. The results show that a judicious combination of the four properties is a better indicator for salient trends than any single criterion used in the past for ranking or detecting emerging trends. | eng |
dc.language | eng | - |
dc.publisher | 한국정보통신대학교 | - |
dc.subject | 트렌드 분석 | - |
dc.subject | 트렌드 순위 결정 | - |
dc.subject | Trend Ranking | - |
dc.subject | Trend Analysis | - |
dc.title | Detecting salient trends through a ranking method using trend line properties | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 393097/225023 | - |
dc.description.department | 한국정보통신대학교 : 공학부, | - |
dc.identifier.uid | 020064574 | - |
dc.contributor.localauthor | Maeng, Sung-Hyon | - |
dc.contributor.localauthor | 맹성현 | - |
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