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Eliptic indexing of multidimensional databases
 Danko, Ondrej ; Skopal, Tomáš (advisor) ; Hoksza, David (referee)
In this work variation of R-tree, which hierarchically partition indexed space using minimum volume covering ellipsoids (MVCE) instead of usually used minimum bounding rectangles, is presented. Main aspects, which determine R-tree index structure performance, are studied from the available resources at the beginning. Base on this studies "e-Rtree" (ellipsoid R-tree) is designed. Afterward algorithms of MVCE construction are carefully analyzed, as the choice of the algorithm is crucial for the efficiency of indexing and retrieval. At the end of the work, eR-tree implementation over ATOM framework is presented along with experiments done on synthetic and real data sets.
Detailed record
Eliptic indexing of multidimensional databases
 Danko, Ondrej ; Hoksza, David (referee) ; Skopal, Tomáš (advisor)
In this work variation of R-tree, which hierarchically partition indexed space using minimum volume covering ellipsoids (MVCE) instead of usually used minimum bounding rectangles, is presented. Main aspects, which determine R-tree index structure performance, are studied from the available resources at the beginning. Base on this studies "e-Rtree" (ellipsoid R-tree) is designed. Afterward algorithms of MVCE construction are carefully analyzed, as the choice of the algorithm is crucial for the efficiency of indexing and retrieval. At the end of the work, eR-tree implementation over ATOM framework is presented along with experiments done on synthetic and real data sets.
Detailed record

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