Big Data Series Analytics Using TARDIS and its Exploitation in Geospatial Applications

SIGMOD/PODS '20: International Conference on Management of Data Portland OR USA June, 2020, pp. 2785-2788, 2020.

Cited by: 0|Bibtex|Views13|DOI:https://doi.org/10.1145/3318464.3384705
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Abstract:

The massive amounts of data series data continuously generated and collected by applications require new indices to speed up data series similarity queries on which various data mining techniques rely. However, the state-of-the-art iSAX-based indexing techniques do not scale well due to the binary fanout that leads to a highly deep index ...More

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