Detecting Time Correlations in Time-Series Data Streams
作者： Mehmet Sayal
DOI:
关键词:
摘要: In this paper, a novel method for analyzing time-series data and extracting time-correlations among multiple streams is described. The tell us the relationships dependencies streams. Reusable time-correlation rules can be fed into various analysis tools, such as forecasting or simulation further analysis. Statistical techniques aggregation functions are applied in order to reduce search space. proposed paper used detecting both between pair of streams, generated how changes values one set influence another Those stored digitally simulation, forecasting, impact analysis, etc., data.
参考文章(14)
Rakesh Agrawal, Christos Faloutsos, Arun Swami, None, Efficient Similarity Search In Sequence Databases FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms. pp. 69- 84 ,(1993) , 10.1007/3-540-57301-1_5
Gautam Das, Dimitrios Gunopulos, Heikki Mannila, Finding Similar Time Series european conference on principles of data mining and knowledge discovery. pp. 88- 100 ,(1997) , 10.1007/3-540-63223-9_109
Dina Q. Goldin, Paris C. Kanellakis, On Similarity Queries for Time-Series Data: Constraint Specification and Implementation principles and practice of constraint programming. pp. 137- 153 ,(1995) , 10.1007/3-540-60299-2_9
James Clifford, Donald J. Berndt, Finding patterns in time series: a dynamic programming approach knowledge discovery and data mining. pp. 229- 248 ,(1996)
Harpreet S. Sawhney, King-Ip Lin, Kyuseok Shim, Rakesh Agrawal, Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases very large data bases. pp. 490- 501 ,(1995)
Byoung-Kee Yi, H.V. Jagadish, C. Faloutsos, Efficient retrieval of similar time sequences under time warping international conference on data engineering. pp. 201- 208 ,(1998) , 10.1109/ICDE.1998.655778
Kelvin Kam Wing Chu, Man Hon Wong, Fast time-series searching with scaling and shifting symposium on principles of database systems. pp. 237- 248 ,(1999) , 10.1145/303976.304000
E. S. PAGE, CONTINUOUS INSPECTION SCHEMES Biometrika. ,vol. 41, pp. 100- 115 ,(1954) , 10.1093/BIOMET/41.1-2.100
Davood Rafiei, Alberto Mendelzon, Similarity-based queries for time series data international conference on management of data. ,vol. 26, pp. 13- 25 ,(1997) , 10.1145/253260.253264
C.-S. Perng, H. Wang, S.R. Zhang, D.S. Parker, Landmarks: a new model for similarity-based pattern querying in time series databases international conference on data engineering. pp. 33- 42 ,(2000) , 10.1109/ICDE.2000.839385