Spatiotemporal Data Indexing using hBπ-tree

Presentasjon om: "Spatiotemporal Data Indexing using hBπ-tree"— Utskrift av presentasjonen:

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

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

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

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TSB-tree 1 - structure Kanoulas - Evangelidis

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TSB-tree 3 – splitting Kanoulas - Evangelidis

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hBπ – tree (Data nodes) Kanoulas - Evangelidis

7 hBπ – tree (Index nodes)
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8 TShB-tree – transaction time
Data Records – an example Kanoulas - Evangelidis

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

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D/fp – Τ/Κ (1) Kanoulas - Evangelidis

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D/fp – Τ/Κ (2) Kanoulas - Evangelidis

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

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

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