Discovering Reliable Approximate Functional Dependencies

Mandros, Panagiotis; Boley, Mario; Vreeken, Jilles

doi:10.1145/3097983.3098062

Local TagsRelease HistoryDetailsSummary

Discovering Reliable Approximate Functional Dependencies

Mandros, P., Boley, M., & Vreeken, J. (2017). Discovering Reliable Approximate Functional Dependencies. In KDD '17 Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 355-363).

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/21.11116/0000-0002-713C-C Version Permalink: https://hdl.handle.net/21.11116/0000-0004-708D-F

Genre: Conference Paper

Files

show Files

Locators

show

Creators

show

hide

Creators:
Mandros, Panagiotis¹, Author
Boley, Mario¹, Author
Vreeken, Jilles¹, Author

Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018

Content

show

Details

show

hide

Language(s):

Dates: Date issued: 2017

Publication Status: Issued

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: Peer

Identifiers: DOI: 10.1145/3097983.3098062

Degree: -

Event

show

hide

Title: KDD '17 Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Place of Event: Halifax, NS, Canada

Start-/End Date: 2017-08-13 - 2017-08-17

Legal Case

show

Project information

show

Source 1

show

hide

Title: KDD '17 Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Source Genre: Proceedings

Creator(s):

Affiliations:

Publ. Info: -

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 355 - 363 Identifier: ISBN: 978-1-4503-4887-4