A Survey on Time Series Data Mining

被引：0
作者：
Fakhrazari, Amin [1 ]
Vakilzadian, Hamid [2 ]
机构：
[1] Pacific Gas & Elect Co PG&E, San Francisco, CA 94103 USA
[2] Univ Nebraska, Lincoln, NE USA
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY (EIT) | 2017年
关键词：
Time series analysis; data mining; artificial intelligence; machine learning; CLASSIFICATION; PREDICTION; MODELS;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, an overview on existing data mining techniques for time series modeling and analysis will be provided. Classification of available literature on time series data mining shows that the main research orientations can be divided into three subfields: Dimensionality Reduction (Time Series Representation), Similarity Measures and Data Mining Tasks.
引用
收藏
页码：476 / 481
页数：6
相关论文
共 62 条
[1]  
Agrawal R., 1993, EFFICIENT SIMILARITY
[2]   An Empirical Comparison of Machine Learning Models for Time Series Forecasting [J].
Ahmed, Nesreen K. ;
Atiya, Amir F. ;
El Gayar, Neamat ;
El-Shishiny, Hisham .
ECONOMETRIC REVIEWS, 2010, 29 (5-6) :594-621
[3]  
[Anonymous], CLUSTERING TIME SERI
[4]  
[Anonymous], TIME WARPS STRING ED
[5]  
[Anonymous], 2004, ACM Sigkdd Explorations Newsletter, DOI [10.1145/1007730.1007734, DOI 10.1145/1007730.1007734]
[6]  
[Anonymous], 2004, SIGKDD, DOI DOI 10.1145/1014052.1014104
[7]  
[Anonymous], 2003, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '03, DOI DOI 10.1145/956750.956808
[8]  
Assent I., 2008, EDBT, P252, DOI DOI 10.1145/1353343.1353376
[9]  
Berkhin P, 2006, GROUPING MULTIDIMENSIONAL DATA: RECENT ADVANCES IN CLUSTERING, P25
[10]  
Berndt D.J., 1994, P 3 INT C KNOWLEDGE, P359, DOI DOI 10.5555/3000850.3000887
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