On the Complexity of Mining Itemsets from the Crowd Using Taxonomies

Antoine Amarilli; Yael Amsterdamer; Tova Milo

doi:10.5441/002/icdt.2014.06

On the Complexity of Mining Itemsets from the Crowd Using Taxonomies

Antoine Amarilli, Yael Amsterdamer, Tova Milo

School of Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	Undefined/Unknown
Title of host publication	Proc. 17th International Conference on Database Theory (ICDT), Athens, Greece, March 24-28, 2014
Editors	Nicole Schweikardt, Vassilis Christophides, Vincent Leroy
Publisher	OpenProceedings.org
Pages	15-25
Number of pages	11
DOIs	https://doi.org/10.5441/002/icdt.2014.06
State	Published - 2014

Access to Document

10.5441/002/icdt.2014.06

https://doi.org/10.5441/002/icdt.2014.06

Cite this

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title = "On the Complexity of Mining Itemsets from the Crowd Using Taxonomies",

author = "Antoine Amarilli and Yael Amsterdamer and Tova Milo",

year = "2014",

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editor = "Nicole Schweikardt and Vassilis Christophides and Vincent Leroy",

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On the Complexity of Mining Itemsets from the Crowd Using Taxonomies. / Amarilli, Antoine; Amsterdamer, Yael; Milo, Tova.

Proc. 17th International Conference on Database Theory (ICDT), Athens, Greece, March 24-28, 2014. ed. / Nicole Schweikardt; Vassilis Christophides; Vincent Leroy. OpenProceedings.org, 2014. p. 15-25.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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