Graph-based Methods for Unsupervised and Semi-supervised Data Analysis

Rangapuram, Syama Sundar

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Graph-based Methods for Unsupervised and Semi-supervised Data Analysis

Rangapuram, S. S. (2016). Graph-based Methods for Unsupervised and Semi-supervised Data Analysis. PhD Thesis, Universität des Saarlandes, Saarbrücken.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-9EA4-D Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-9EA5-B

Genre: Thesis

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Locator:
http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de (Copyright transfer agreement) Open Access status unknown

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http://scidok.sulb.uni-saarland.de/volltexte/2016/6659/ (Any fulltext) Open Access Green

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Creators:
Rangapuram, Syama Sundar¹, Author
Hein, Matthias², Advisor
Hoai An, Le Thi², Referee

Affiliations:
1International Max Planck Research School, MPI for Informatics, Max Planck Society, Campus E1 4, 66123 Saarbrücken, DE, ou_1116551
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Accepted: 2016-10-10Published Online: 2016-10-21Date issued: 2016

Publication Status: Issued

Pages: XI, 161 p.

Publishing info: Saarbrücken : Universität des Saarlandes

Table of Contents: -

Rev. Type: -

Identifiers: BibTex Citekey: rangphd17
URN: urn:nbn:de:bsz:291-scidok-66590

Degree: PhD

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