Linguistic Expression of Time Series and Its Applications to Retrieval and Machine Learning
| Project/Area Number |
22500209
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
UMANO Motohide 大阪府立大学, 理学系研究科, 教授 (10131616)
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| Co-Investigator(Kenkyū-buntansha) |
SETA Kazuhisa 大阪府立大学, 理学系研究科, 教授 (50304051)
MATSUSHITA Mitsunori 関西大学, 総合情報学部, 教授 (50396123)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | ファジィ理論 / 時系列データ / ソフトコンピューティング / ファジィ検索 / 機械学習 / ファジィ・データマイニング / ファジィ集合 / 全体的傾向 / 局所的特徴 / ソフト・コンピューティング |
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| Research Abstract |
We have many kinds of data of time series such as daily temperatures and stock prices. It is likely that we understand them via linguistic expressions for the global trend and local features. In this research, we formulate a method to extract linguistic expressions for the global trend, local features and oscillation using fuzzy sets and implement a system for extracting them from a time series data. Then we implement two prototype systems for retrieving similar time series in a database of time series and learning knowledge from a set of data including time series. The retrieval of similar time series is based on a similarity degrees of linguistic expressions for global trend, local features and oscillation. The learning of knowledge is an extension of fuzzy C4.5 to including attributes of global trend, local features and oscillation.
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Report
(4 results)
Research Products
(50 results)
