DC 欄位 |
值 |
語言 |
DC.contributor | 資訊工程學系 | zh_TW |
DC.creator | 郭同益 | zh_TW |
DC.creator | Tong-Yi Kuo | en_US |
dc.date.accessioned | 2022-7-19T07:39:07Z | |
dc.date.available | 2022-7-19T07:39:07Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | http://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=109522084 | |
dc.contributor.department | 資訊工程學系 | zh_TW |
DC.description | 國立中央大學 | zh_TW |
DC.description | National Central University | en_US |
dc.description.abstract | 時間序列資料的大致走向通常稱之為「趨勢線」,然而趨勢線未有精準描述的定義,每個人心中對趨勢線的形狀認知有些許差異,難以用一種趨勢線滿足所有人。另外個別使用者可能也不容易清楚敘述其心中的趨勢線樣貌。
本論文提出一個框架讓個別使用者以「手繪」的方式在十張時間序列資料上標出他認定的趨勢線,讓機器學習模型從中學習該使用者心中的趨勢線樣貌,以應用在其他時間序列資料上。 | zh_TW |
dc.description.abstract | The tendency of a time series is usually referred to as a “trend line”. However, the precise definition of a trend line is still ambiguous. Given a time series, different users may come up with varying shapes of trend lines – some may prefer smooth lines, while others may hope the trend line responds to local turbulence. Therefore, a single trend line definition is challenging to meet everyone’s needs. Meanwhile, it could be complicated for users to clearly describe the requirements of a trend line in their minds.
This thesis proposes a framework to learn the customized trend lines that meet users’ demands. First, the framework asks users to plot the expected trend lines on ten time-series datasets. The framework then learns users’ preferred shapes and automatically draws the customized trend lines for other time-series datasets. | en_US |
DC.subject | 時間序列 | zh_TW |
DC.subject | 小樣本 | zh_TW |
DC.subject | 趨勢線 | zh_TW |
DC.subject | 時間序列預測 | zh_TW |
DC.subject | time series | en_US |
DC.subject | small sample | en_US |
DC.subject | trend line | en_US |
DC.subject | time series prediction | en_US |
DC.title | 針對個別使用者從其少量趨勢線樣本生成個人化趨勢線 | zh_TW |
dc.language.iso | zh-TW | zh-TW |
DC.title | Generating Personalized Trend Line Based on Few Labelings from One Individual | en_US |
DC.type | 博碩士論文 | zh_TW |
DC.type | thesis | en_US |
DC.publisher | National Central University | en_US |