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
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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