Parallel Algorithms for Mining Association Rules in Time Series Data

Author:

Sarker Biplab Kumer,Mori Takaki,Hirata Toshiya,Uehara Kuniai

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Berndt, D.J., and Clifford, J.: Finding Patterns in Time Series. A Dynamic Programming Approach. Proc. of Advances in Knowledge Discovery and Data Mining. (1996) 229–248

2. Bay, S. D.: Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets. Proc. of 15th International Conference on Machine Learning. (1998) 37–45

3. Oates, T., Cohen, P.R.: Searching for Structure in Multiple Stream of Data. Proc. of 13th International Conference on Machine Learning. (1996) 346–354

4. Shimada, M., Uehara, K.: Discovery of Correlation from Multi-stream of Human Motion. Lecture Notes in Artificial Intelligence. (2000) 290–294

5. Das, G., Lin, K., Mannila, H., Renganathan, G., Smyth, P.: Rule Discovery from Time Series. Proc. of the Fourth International Conference on Knowledge Discovery and Data mining. (1998) 16–22

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