References
- Li H. Asynchronism-based principal component analysis for time series data mining. Expert Syst Appl. 2014;41(6):2842–2850. doi: 10.1016/j.eswa.2013.10.019
- Li H. On-line and dynamic time warping for time series data mining. Int J Mach Learn Cybern. 2015;6(1):145–153. doi: 10.1007/s13042-014-0254-0
- Mishra S, Saravanan C, Dwivedi VK, et al. Discovering flood recession pattern in hydrological time series data mining during the post monsoon period. Indian J Geo-Mar Sci. 2014;90(8):260–261.
- Tong L. Simulation analysis of nonlinear classification model for huge amounts of network traffic data. Comput Simul. 2015;32(12):255–258.
- Shumin W, Aiwu Z, Shaoxing H, et al. Study on the classification method of aerial hyperspectral image based on the random forest algorithm. Sci Technol Eng. 2016;16(21):83–87.
- Qianyun L, Bing X. Sleep classification based on EEG. Electron Des Eng. 2016;24(5):26–28.
- Lara J A, Lizcano D, Pérez A, et al. A general framework for time series data mining based on event analysis: application to the medical domains of electroencephalography and stabilometry. J Biomed Inf. 2014;51:219–241. doi: 10.1016/j.jbi.2014.06.003
- Mengli R. Algorithm of web hot data mining based on structured segmentation. Bull Sci Technol. 2015;4:115–117.
- Zheng B, Su H, Lin L. Application of unsupervised feature selection in time series data mining. Chin J Sci Instrum. 2014;35(4):834–840.
- Rafiuzaman M. Forecasting chaotic stock market data using time series data mining. Int J Comput Appl. 2014;101(10):27–34.
- Zhaowen H, Qian N, Yinjie L, et al. Application of improved simulated annealing genetic algorithm in SQL data mining parameter optimization. Comput Meas Control. 2015;23(10):3525–3528.
- Anguera A, Barreiro JM, Lara JA, et al. Applying data mining techniques to medical time series: an empirical case study in electroencephalography and stabilometry. Comput Struct Biotechnol J. 2016;14:185–199. doi: 10.1016/j.csbj.2016.05.002
- Foumelis M, Papageorgiou E, Stamatopoulos C. Episodic ground deformation signals in Thessaly Plain (Greece) revealed by data mining of SAR interferometry time series. Int J Remote Sens. 2016;37(16):3696–3711. doi: 10.1080/01431161.2016.1201233
- Zhou G. Railway track irregularity data mining and time series trend forecasting research. Appl Mech Mater. 2014;666:272–275. doi: 10.4028/www.scientific.net/AMM.666.272
- Yuqing S, Yuelong Z. Extended statistical downscaling model using data mining methods for modeling hydrologic time series. J Comput Theor Nanosci. 2015;12(12):5081–5088. doi: 10.1166/jctn.2015.4479
- Li M, Zhang L, Liao M, et al. Detection of coal-mining-induced subsidence and mapping of the resulting deformation using time series of ALOS-PALSAR data. Remote Sens Lett. 2016;7(9):855–864. doi: 10.1080/2150704X.2016.1193794
- Moskovitch R, Shahar Y. Classification of multivariate time series via temporal abstraction and time intervals mining. Knowl Inf Syst. 2015;45(1):1–40. doi: 10.1007/s10115-014-0784-5