Multi-hypothesis CSV parsing

2017-06-27

Presented at the International Conference on Scientific and Statistical Database Management (June 2017), Chicago

Additional Metadata
ISBN	78-1-4503-5282-6/17/06
Persistent URL	dx.doi.org/https://doi.org/http://dx.doi.org/10.1145/3085504.3085520
Project	Capturing the Laws of Data Nature
Conference	International Conference on Scientific and Statistical Database Management
Grant	This work was funded by the CWI PPS samenwerking; grant id pps/1000 - Databricks CWI Research Agreement, This work was funded by the The Netherlands Organisation for Scientific Research (NWO); grant id nwo/639.021.543 - Capturing the Laws of Data Nature
Organisation	Database Architectures
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Döhmen, T.R, Mühleisen, H.F, & Boncz, P.A. (2017). Multi-hypothesis CSV parsing. In ACM International Conference Proceeding Series. doi:https://doi.org/10.1145/3085504.3085520

Additional Files
SSDM1111.pdf Final Version , 1mb

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