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

Summary: TARDIS scales billions of data-series with iSAX-T signatures and a sigTree, reducing cardinality costs and improving proximity. Centralized and local indices support re-partitioning and GENET Big Data Series Approximate Retrieval in geospatial data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5878
Venue: SIGMOD
Year: 2020
Pagerank: -
Overall Rank: 13,275 | 7.65%
DOI: 10.1145/3318464.3384705

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