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https://hdl.handle.net/2142/81857
Description
Title
Multi-Dimensional Analysis of Graph Data
Author(s)
Chen, Chen
Issue Date
2009
Doctoral Committee Chair(s)
Han, Jiawei
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
In conclusion, the multi-dimensional analysis framework could lead to intuitive and insightful knowledge discovery on graphs, especially when the data is large and complex. Given the emerging trend of huge information networks as listed above, it is an important research topic to devote more efforts to. We point out a few possible future works, especially discovery-driven Graph OLAP. We believe that this is an interesting direction to go, and give our initial thoughts on it.
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