@inproceedings{0b5a7f49ba6a418d86763227e8ef963a,
title = "Efficient pattern matching of multidimensional sequences",
abstract = "We address the problem of the similarity search in large multidimensional sequence databases. Most of previous work focused on similarity matching and retrieval of one-dimensional sequences. However, many new applications such as weather data or music databases need to handle multidimensional sequences. In this paper, we present the efficient search method for finding similar sequences to a given query sequence in multidimensional sequence databases. The proposed method can efficiently reduce the search space and guarantees no false dismissals. We give preliminary experimental results to show the effectiveness of the proposed method.",
author = "Sangjun Lee and Kyoungsu Oh and Dongseop Kwon and Wonik Choi and Jiman Hong and Jongmoo Choi and Donghee Lee",
year = "2005",
doi = "10.1007/11548706_22",
language = "English",
isbn = "3540286608",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "202--210",
booktitle = "Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 10th International Conference, RSFDGrC 2005, Proceedings",
address = "Germany",
note = "10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005 ; Conference date: 31-08-2005 Through 03-09-2005",
}