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2 Results for: Book/Issue: DMKD '03: Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
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- ArticleJune 2003
Clustering of streaming time series is meaningless
DMKD '03: Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discoveryPages 56–65https://doi.org/10.1145/882082.882096Time series data is perhaps the most frequently encountered type of data examined by the data mining community. Clustering is perhaps the most frequently used data mining algorithm, being useful in it's own right as an exploratory technique, and also as ...
- ArticleJune 2003
A symbolic representation of time series, with implications for streaming algorithms
DMKD '03: Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discoveryPages 2–11https://doi.org/10.1145/882082.882086The parallel explosions of interest in streaming data, and data mining of time series have had surprisingly little intersection. This is in spite of the fact that time series data are typically streaming data. The main reason for this apparent paradox ...