An Improved Piecewise Aggregate Approximation Based on Statistical Features for Time Series Mining
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-15280-1_23.pdf
Reference12 articles.
1. Faloutsos, C., Ranganathan, M., Manolopoulos, Y.: Fast subsequence matching in time series databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 419–429 (1994)
2. Popivanov, I., Miller, R.J.: Similarity search over time-series data using wavelets. In: Proceedings of the 18th International Conference on Data Engineering, pp. 212–221 (2002)
3. Theodoridis, S., Koutroumbas, K.: Feature generation I: data transformation and dimensionality reduction. In: Pattern Recognition, 4th edn., pp. 323–409 (2009)
4. Lin, J., Keogh, E.: A symbolic representation of time series with implications for streaming algorithms. In: Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pp. 2–11 (2003)
5. Keogh, E., Lin, J., Fu, A.: Hot sax: efficiently finding the most unusual time series subsequence. In: Proceedings of the 5th IEEE International Conference on Data Mining, pp. 226–233 (2005)
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