- 期刊
- OpenAccess
Using Pattern Mining Algorithms in Discovery Biological Data
並列摘要
Sequences are one of the most important types of data. Recently, mining and analysis of sequence data has been studied in several fields. In a DNA sequences may exist other characters then not exist in alphabet. It is related to a function of the DNA that has been preserved in the evolutionary process of an organism. Discovery of DNA sequences dataset that contains gap is very hard job for algorithms. We present an algorithm that discovery this DNA sequences in datasets. Our algorithm used sequential pattern mining method for in problems.
延伸閱讀
- Huang, N. (2016). Discriminative Pattern Mining in Microbiomic Data [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201603476
- Huang, J. J. (2006). Data Mining for the Classification Problem-The Inspiration of Genetic Programming [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2006.00895
- 吳南璋（2008）。Mining Partially Periodic Patterns with Change Detection over Data Streams〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu200800464
- Hao, W. H. (2008). Efficient Mining and Maintaining Algorithms for Sequential Patterns [doctoral dissertation, Tamkang University]. Airiti Library. https://doi.org/10.6846/TKU.2008.00831
- Jaysawal, B. P. (2013). Progressive Sequential Pattern Mining across Multiple Data Streams [master's thesis, Yuan Ze University]. Airiti Library. https://doi.org/10.6838/YZU.2013.00043