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20th International Workshop on Database and Expert Systems Application Motif Discovery in Brain Networks of Patients with Somatoform Pain Disorder Annahita Oswald University of Munich
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Document Date: 2009-12-11 08:34:14

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File Size: 713,67 KB

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City

Apriori / /

Company

Cambridge University Press / Brain CoActivation Networks / Vertex / Frontal / /

Currency

USD / /

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Facility

Somatoform Pain Disorder Annahita Oswald University / Bianca Wackersreuther University / Technical University of Munich / /

IndustryTerm

patterngrowth algorithms / graph mining / Grew-a scalable frequent subgraph discovery algorithm / patient / substructure pattern mining / graph dataset mining / frequent subgraph mining / depth-first search / large graph mining / maximal independent set algorithm / pain processing / large networks / graph mining methods / heuristic frequent subgraph discovery algorithms / breadth-first search / mining / dataset mining / graph dataset mining algorithm / frequent subgraph algorithms / graph dataset mining tasks / brain networks / control / computationally-constrained beam search / /

MedicalCondition

Somatization disorders / disease / somatoform pain disorder / somatoform brain disorder / Idiopathic chronic pain / medical disorders / posttraumatic stress disorder / somatoform pain disorder form different motifs / pain / somatoform disorder show different activation patterns / such diseases / numerous diseases / somatoform disorder / /

Organization

Cambridge University / Medizinische Hochschule Hannover / Technical University of Munich / Somatoform Pain Disorder Annahita Oswald University of Munich / /

Person

Christian Sorg / Claus Zimmer / Michael Valet / /

Position

General / /

PublishedMedium

Machine Learning / /

Technology

patterngrowth algorithms / frequent subgraph algorithms / heuristic frequent subgraph discovery algorithms / graph dataset mining algorithm / set algorithm / frequent subgraph discovery algorithm / Machine Learning / mri / /

URL

http /

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