In this dissertation, we develop frequent free tree mining systems, F3TM and CFFTree, to systematically discover the complete set of (closed) frequent free trees from a graph database. Graph indexing, another problem addressed in this dissertation, is of special interest both in academia and in industrial applications. The solutions, (Tree+Delta ) and SimTree, propose a free tree featured index, which is built on frequent free tree patterns discovered through a structural mining process. This mining-based indexing methodology leads to the development of a compact but effective graph index structure that is orders of magnitude smaller in size but an order of magnitude faster in performance than traditional approaches. / Scalable structural pattern mining and graph database management tools become increasingly crucial to applications with complex data in domains ranging from software engineering to computational biology. Due to their high complexity, it is often difficult, if not impossible, for human beings to manually analyze any reasonably large collection of graphs. In this dissertation, we investigate two fundamental problems in large scale graph databases: Given a graph database what are the hidden free tree patterns and how can we find them? And how can we index graphs based on free tree patterns and perform similarity search in large graph databases? / The developed concepts, theories, and systems hence increase our understanding of data mining principles in structural pattern discovery, interpretation and search. The formulation of a general free tree featured graph information system through this study could provide fundamental supports to graph-intensive applications. / Zhao, Peixiang. / "August 2007." / Adviser: Jeffrey Xu Yu. / Source: Dissertation Abstracts International, Volume: 69-02, Section: B, page: 1127. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2007. / Includes bibliographical references (p. 136-145). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract in English and Chinese. / School code: 1307.
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_344065 |
| Date | January 2007 |
| Contributors | Zhao, Peixiang, Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, theses |
| Format | electronic resource, microform, microfiche, 1 online resource (xi, 145 p. : ill.) |
| 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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