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University of Illinois at Urbana-Champaign
Mining, Indexing and Similarity Search in Large Graph Data Sets
Abstract
dc:descriptionThe developed concepts, theories, and systems may significantly deepen the understanding of data mining principles in structural pattern discovery, interpretation and search. The formulation of a general graph information system through this study could provide fundamental supports to graph-intensive applications in multiple domains.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Yan, Xifeng
- Contributors dc:contributor
-
- Han, Jiawei
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3243031
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81747