並列摘要
Complexity analysis is an important field in modern molecular biology. There are many tools and techniques to help us measure the overall structural property of sequences. In this thesis, we introduce a method to compute the sequence complexity. Previously works can be applying on DNA sequence and text sequence. Based on these achievements, we use the method to compute the complexity for time series. The way for complexity of time series is translating time series into two-symbol sequence or four-symbol sequence and computing the complexity. And, we also compare the complexity for different time series to see their relation. We analyze several experiments and show the result.
參考文獻
[1] Bai-Lin Hao, H.C. Lee, and Shu-Yu Zhang. Fractals related to long DNA sequences
and complete genomes. Chaos, Solitons & Fractals, 11(6):825–836, 2000.
[2] David Koslicki. Topological entropy of DNA sequences. Bioinformatics,
27(8):1061–1067, 2011.
[3] Cheng-Yuan Liou, Tai-HeiWu, and Chia-Ying Lee. Modeling complexity in musical
延伸閱讀
- 洪鴻智（1998）。複雜與空間動態。都市與計劃，25(1)，71-92。https://www.airitilibrary.com/Article/Detail?DocID=10181067-199803-25-1-71-92-a
- Mahsa, A. (2019). 大量時間序列之預測與叢聚分析 [doctoral dissertation, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-0206202016191995
- 蔡念庭（2022）。時間序列資料變動點估計方法的探討〔碩士論文，國立臺灣師範大學〕。華藝線上圖書館。https://doi.org/10.6345/NTNU202201107
- Woo, P. S. (2001). Parametric inference for time series based upon goodness-of-fit [master's thesis, The University of Hong Kong]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0029-1812201200006109
- Ortiz, P. A. M., & Ferrándiz, J. M. (2013). A New Algorithm to Accelerate Harmonic Analysis of Time Series. ISRN Applied Mathematics, (), 406-413. https://doi.org/10.1155/2013/916731