by Cheung King Lum Kingly. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves 108-110). / Abstract --- p.ii / Acknowledgement --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Motivation --- p.1 / Chapter 1.2 --- Problems in Content-Based Indexing --- p.2 / Chapter 1.3 --- Contributions --- p.3 / Chapter 1.4 --- Thesis Organization --- p.4 / Chapter 2 --- Content-Based Indexing Structures --- p.5 / Chapter 2.1 --- R-Tree --- p.6 / Chapter 2.2 --- R+-Tree --- p.8 / Chapter 2.3 --- R*-Tree --- p.11 / Chapter 3 --- Searching in Both R-Tree and R*-Tree --- p.15 / Chapter 3.1 --- Exact Search --- p.15 / Chapter 3.2 --- Nearest Neighbor Search --- p.19 / Chapter 3.2.1 --- Definition of Searching Metrics --- p.19 / Chapter 3.2.2 --- Pruning Heuristics --- p.21 / Chapter 3.2.3 --- Nearest Neighbor Search Algorithm --- p.24 / Chapter 3.2.4 --- Generalization to N-Nearest Neighbor Search --- p.25 / Chapter 4 --- An Improved Nearest Neighbor Search Algorithm for R-Tree --- p.29 / Chapter 4.1 --- Introduction --- p.29 / Chapter 4.2 --- New Pruning Heuristics --- p.31 / Chapter 4.3 --- An Improved Nearest Neighbor Search Algorithm --- p.34 / Chapter 4.4 --- Replacing Heuristics --- p.36 / Chapter 4.5 --- N-Nearest Neighbor Search --- p.41 / Chapter 4.6 --- Performance Evaluation --- p.45 / Chapter 5 --- Overlapping Nodes in R-Tree and R*-Tree --- p.53 / Chapter 5.1 --- Overlapping Nodes --- p.54 / Chapter 5.2 --- Problem Induced By Overlapping Nodes --- p.57 / Chapter 5.2.1 --- Backtracking --- p.57 / Chapter 5.2.2 --- Inefficient Exact Search --- p.57 / Chapter 5.2.3 --- Inefficient Nearest Neighbor Search --- p.60 / Chapter 6 --- Redundancy On R-Tree --- p.64 / Chapter 6.1 --- Motivation --- p.64 / Chapter 6.2 --- Adding Redundancy on Index Tree --- p.65 / Chapter 6.3 --- R-Tree with Redundancy --- p.66 / Chapter 6.3.1 --- Previous Models of R-Tree with Redundancy --- p.66 / Chapter 6.3.2 --- Redundant R-Tree --- p.70 / Chapter 6.3.3 --- Level List --- p.71 / Chapter 6.3.4 --- Inserting Redundancy to R-Tree --- p.72 / Chapter 6.3.5 --- Properties of Redundant R-Tree --- p.77 / Chapter 7 --- Searching in Redundant R-Tree --- p.82 / Chapter 7.1 --- Exact Search --- p.82 / Chapter 7.2 --- Nearest Neighbor Search --- p.86 / Chapter 7.3 --- Avoidance of Multiple Accesses --- p.89 / Chapter 8 --- Experiment --- p.90 / Chapter 8.1 --- Experimental Setup --- p.90 / Chapter 8.2 --- Exact Search --- p.91 / Chapter 8.2.1 --- Clustered Data --- p.91 / Chapter 8.2.2 --- Real Data --- p.93 / Chapter 8.3 --- Nearest Neighbor Search --- p.95 / Chapter 8.3.1 --- Clustered Data --- p.95 / Chapter 8.3.2 --- Uniform Data --- p.98 / Chapter 8.3.3 --- Real Data --- p.100 / Chapter 8.4 --- Discussion --- p.102 / Chapter 9 --- Conclusions and Future Research --- p.105 / Chapter 9.1 --- Conclusions --- p.105 / Chapter 9.2 --- Future Research --- p.106 / Bibliography --- p.108
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_321870 |
| Date | January 1997 |
| Contributors | Cheung, King Lum Kingly., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, xi, 111 leaves : ill. ; 30 cm. |
| Rights | Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
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