'Frequent subgraphs' diaporamas de présentation

EECS 800 Research Seminar Mining Biological Data

EECS 800 Research Seminar Mining Biological Data. Instructor: Luke Huan Fall, 2006. Graph Data Analysis Overview. Methods for Mining Frequent Subgraphs Mining Variant and Constrained Substructure Patterns Graph Classification Graph Clustering Summary. Why Graph Mining?.

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Mining Turbulence Data Ivan Marusic Department of Aerospace Engineering and Mechanics

Mathematical Challenges in Scientific Data Mining IPAM 14-18 January, 2002. Mining Turbulence Data Ivan Marusic Department of Aerospace Engineering and Mechanics University of Minnesota. Collaborators: Victoria Interrante, George Karypis, Vipin Kumar

561 views • 45 slides

NeMoFinder: Dissecting genome-wide protein-protein intractions with meso-scale network motifs

NeMoFinder: Dissecting genome-wide protein-protein intractions with meso-scale network motifs. Mike Yuan. Outline of this presentation. Introduction to PPI Introduction to Graph Mining Related work Problem statement Details of the NeMoFinder algorithm Summary References .

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Authors : Mehmet Koyuturk, Ananth Grama and Wojciech Szpankowski Presented by : Talya Gendler

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Mining Frequent Subgraphs

Mining Frequent Subgraphs. COMP 790-90 Seminar Spring 2007. 1L06. Overview. Introduction Finding recurring subgraphs from graph databases. gSpan FFSM. p 2. p 5. s 1. q 1. y. c. b. y. y. y. b. b. s 2. p 1. q 2. x. a. a. a. x. y. y. y. y. d. b. b. b. p 4. s 3.

334 views • 27 slides