Crowd Miner: Mining association rules from the crowd

Yael Amsterdamer; Yael Grossman; Tova Milo; Pierre Senellart

Conference Papers Year : 2013

Crowd Miner: Mining association rules from the crowd

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Yael Amsterdamer

Function : Author

School of Computer Science

Yael Grossman

Function : Author

School of Computer Science

Tova Milo

Function : Author

School of Computer Science

Pierre Senellart

Function : Author
PersonId : 11778
IdHAL : pierre-senellart
ORCID : 0000-0002-7909-5369
IdRef : 124713769

Data, Intelligence and Graphs

Département Informatique et Réseaux

CV

Domains

Computer Science [cs] Databases [cs.DB]

Admin Télécom Paristech : Connect in order to contact the contributor

https://hal-imt.archives-ouvertes.fr/hal-00874438

Submitted on : Thursday, October 17, 2013-6:19:28 PM

Last modification on : Thursday, January 5, 2023-8:12:09 PM

Dates and versions

hal-00874438 , version 1 (17-10-2013)

Identifiers

HAL Id : hal-00874438 , version 1

Cite

Yael Amsterdamer, Yael Grossman, Tova Milo, Pierre Senellart. Crowd Miner: Mining association rules from the crowd. VLDB (Very Large Data Bases), Aug 2013, Riva del Garda, Italy. pp.241-252. ⟨hal-00874438⟩

Crowd Miner: Mining association rules from the crowd

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