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You searched for subject:(Super node AND super graph structure ). Showing records 1 – 2 of 2 total matches.

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University of Technology, Sydney

1. Guo, T. Real-time analytics for complex structure data.

Degree: 2015, University of Technology, Sydney

The advancement of data acquisition and analysis technology has resulted in many real-world data being dynamic and containing rich content and structured information. More specifically, with the fast development of information technology, many current real-world data are always featured with dynamic changes, such as new instances, new nodes and edges, and modifications to the node content. Different from traditional data, which are represented as feature vectors, data with complex relationships are often represented as graphs to denote the content of the data entries and their structural relationships, where instances (nodes) are not only characterized by the content but are also subject to dependency relationships. Plus, real-time availability is one of outstanding features of today’s data. Real-time analytics is dynamic analysis and reporting based on data entered into a system before the actual time of use. Real-time analytics emphasizes on deriving immediate knowledge from dynamic data sources, such as data streams, and knowledge discovery and pattern mining are facing complex, dynamic data sources. However, how to combine structure information and node content information for accurate and real-time data mining is still a big challenge. Accordingly, this thesis focuses on real-time analytics for complex structure data. We explore instance correlation in complex structure data and utilises it to make mining tasks more accurate and applicable. To be specific, our objective is to combine node correlation with node content and utilize them for three different tasks, including (1) graph stream classification, (2) super-graph classification and clustering, and (3) streaming network node classification. Understanding the role of structured patterns for graph classification: the thesis introduces existing works on data mining from an complex structured perspective. Then we propose a graph factorization-based fine-grained representation model, where the main objective is to use linear combinations of a set of discriminative cliques to represent graphs for learning. The optimization-oriented factorization approach ensures minimum information loss for graph representation, and also avoids the expensive sub-graph isomorphism validation process. Based on this idea, we propose a novel framework for fast graph stream classification. A new structure data classification algorithm: The second method introduces a new super-graph classification and clustering problem. Due to the inherent complex structure representation, all existing graph classification methods cannot be applied to super-graph classification. In the thesis, we propose a weighted random walk kernel which calculates the similarity between two super-graphs by assessing (a) the similarity between super-nodes of the super-graphs, and (b) the common walks of the super-graphs. Our key contribution is: (1) a new super-node and super-graph structure to enrich existing graph representation for real-world applications; (2) a weighted random walk kernel considering node and…

Subjects/Keywords: Data acquisition and analysis.; Complex structure data.; Real-time availability of data.; Data streams.; Node correlation.; Node content.; Super-node and super-graph structure.; Optimization-oriented factorization approach.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Guo, T. (2015). Real-time analytics for complex structure data. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/38990

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Guo, T. “Real-time analytics for complex structure data.” 2015. Thesis, University of Technology, Sydney. Accessed January 18, 2020. http://hdl.handle.net/10453/38990.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Guo, T. “Real-time analytics for complex structure data.” 2015. Web. 18 Jan 2020.

Vancouver:

Guo T. Real-time analytics for complex structure data. [Internet] [Thesis]. University of Technology, Sydney; 2015. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/10453/38990.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guo T. Real-time analytics for complex structure data. [Thesis]. University of Technology, Sydney; 2015. Available from: http://hdl.handle.net/10453/38990

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université de Montréal

2. Quéro, Yann-Cédric. La gouvernance nodale de la sécurité locale .

Degree: 2016, Université de Montréal

Subjects/Keywords: gouvernance nodale; node super-structurel; policing; réseau de sécurité locale; nodal governance; superstructural node; local security network; conseil local de sécurité et de prévention de la délinquance; local security committee; France

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Quéro, Y. (2016). La gouvernance nodale de la sécurité locale . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/13591

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Quéro, Yann-Cédric. “La gouvernance nodale de la sécurité locale .” 2016. Thesis, Université de Montréal. Accessed January 18, 2020. http://hdl.handle.net/1866/13591.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Quéro, Yann-Cédric. “La gouvernance nodale de la sécurité locale .” 2016. Web. 18 Jan 2020.

Vancouver:

Quéro Y. La gouvernance nodale de la sécurité locale . [Internet] [Thesis]. Université de Montréal; 2016. [cited 2020 Jan 18]. Available from: http://hdl.handle.net/1866/13591.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Quéro Y. La gouvernance nodale de la sécurité locale . [Thesis]. Université de Montréal; 2016. Available from: http://hdl.handle.net/1866/13591

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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