@inproceedings{62c70a831d3d4de0b422aee9ca1feb32,
title = "Positive and negative local trend association patterns in analysis of associations between time series",
abstract = "The paper introduces new time series shape association measures based on Euclidean distance. The method of analysis of associations between time series based on separate analysis of positively and negatively associated local trends is discussed. The examples of application of the proposed measures and methods to analysis of associations between historical prices of securities obtained from Google Finance are considered. An example of time series with inverse associations between them is discussed.",
keywords = "Google Finance, Time series shape association measure, hierarchical clustering, local trend associations, moving approximation transform",
author = "Ildar Batyrshin and Valery Solovyev",
year = "2014",
doi = "10.1007/978-3-319-07491-7_10",
language = "Ingl{\'e}s",
isbn = "9783319074900",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "92--101",
booktitle = "Pattern Recognition - 6th Mexican Conference, MCPR 2014, Proceedings",
address = "Alemania",
note = "6th Mexican Conference on Pattern Recognition, MCPR 2014 ; Conference date: 25-06-2014 Through 28-06-2014",
}