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Spatiotemporal Data Indexing using hB π - tree

Spatiotemporal Data Indexing using hB π - tree. Evangelos Kanoulas, Georgios Evangelidis Department of Applied Informatics, University of Macedonia, Hellas. Spatial and Temporal Data. Linear data Spatial data Temporal data

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Spatiotemporal Data Indexing using hB π - tree

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  1. Spatiotemporal Data Indexing using hBπ-tree Evangelos Kanoulas, Georgios Evangelidis Department of Applied Informatics, University of Macedonia, Hellas

  2. Spatialand Temporal Data • Linear data • Spatial data • Temporal data Applications, which require to support past, current and future data. Kanoulas - Evangelidis

  3. Transaction Time Databases • transaction time • records (tuples) • time-invariant key • time – variant attributes • time interval • valid records Kanoulas - Evangelidis

  4. TSB-tree 1 - structure Kanoulas - Evangelidis

  5. TSB-tree 3 – splitting Kanoulas - Evangelidis

  6. hBπ– tree (Data nodes) Kanoulas - Evangelidis

  7. hBπ– tree (Index nodes) Kanoulas - Evangelidis

  8. TShB-tree – transaction time Data Records – an example Kanoulas - Evangelidis

  9. TShB-tree - splitting • Index nodes • Using the D/fp algorithm • Data nodes • Time split • Key split Kanoulas - Evangelidis

  10. D/fp – Τ/Κ (1) Kanoulas - Evangelidis

  11. D/fp – Τ/Κ (2) Kanoulas - Evangelidis

  12. D/fp – Τ/ΤΚ (1) Kanoulas - Evangelidis

  13. D/fp – Τ/ΤΚ (2) Kanoulas - Evangelidis

  14. Kanoulas - Evangelidis

  15. Kanoulas - Evangelidis

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