Faster way to agony: Discovering hierarchies in directed graphs

Nikolaj Tatti

Faster way to agony: Discovering hierarchies in directed graphs

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

13 Citations (Scopus)

Original language	English
Title of host publication	European conference on machine learning and principles and practice of knowledge discovery in databases, ECML PKDD2014, 15-19 September, Nancy, France
Publication status	Published - 2014
MoE publication type	A4 Conference publication

Keywords

conference
peer

Cite this

@inproceedings{309a8fa2625c45d7b07e36b1b4bf8145,

title = "Faster way to agony: Discovering hierarchies in directed graphs",

keywords = "conference, peer, conference, peer, conference, peer",

author = "Nikolaj Tatti",

note = "VK: algodan",

year = "2014",

language = "English",

isbn = "978-3-662-44844-1",

booktitle = "European conference on machine learning and principles and practice of knowledge discovery in databases, ECML PKDD2014, 15-19 September, Nancy, France",

}

Faster way to agony: Discovering hierarchies in directed graphs. / Tatti, Nikolaj.
European conference on machine learning and principles and practice of knowledge discovery in databases, ECML PKDD2014, 15-19 September, Nancy, France. 2014.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Faster way to agony: Discovering hierarchies in directed graphs

AU - Tatti, Nikolaj

N1 - VK: algodan

PY - 2014

Y1 - 2014

KW - conference

KW - peer

KW - conference

KW - peer

KW - conference

KW - peer

M3 - Conference article in proceedings

SN - 978-3-662-44844-1

BT - European conference on machine learning and principles and practice of knowledge discovery in databases, ECML PKDD2014, 15-19 September, Nancy, France

ER -