Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/76D2A6B1-E8EF-4B22-9A10-D110C6B2E3F9 | ||
| Year | 2006 | ||
| Type of Item | Conference Full Paper | ||
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| Bibliographic Citation | L. Koumakis, V. Moustakis, A. Kanterakis & G. Potamias, "Mining time series with Mine Time," in Theories, Models and Applications: 5th Hellenic Conference of AI Proceedings. Advances in Artificial Intelligence: Proceedings of the 4th Hellenic Conference, 2006, pp. 158 – 168, doi: 10.1007/11752912_18 https://doi.org/10.1007/11752912_18 | ||
| Appears in Collections |
We present, Mine Time, a tool that supports discovery over time series data. Mine Time is realized by the introduction of novel algorithmic processes, which support assessment of coherence and similarity across timeseries data. The innovation comes from the inclusion of specific ‘control’ operations in the elaborated time-series matching metric. The final outcome is the clustering of time-series into similar-groups. Clustering is performed via the appropriate customization of a phylogeny-based clustering algorithm and tool. We demonstrate Mine Time via two experiments.
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