Midas: integrating public financial data

doi:10.1145/1807167.1807315

Midas: integrating public financial data

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Authors:	Sreeram Balakrishnan	IBM Silicon Valley Lab, San Jose, CA, USA
	Vivian Chu	IBM Research - Almaden, San Jose, CA, USA
	Mauricio A. Hernández	IBM Research - Almaden, San Jose, CA, USA
	Howard Ho	IBM Research - Almaden, San Jose, CA, USA
	Rajasekar Krishnamurthy	IBM Research - Almaden, San Jose, CA, USA
	Shi Xia Liu	IBM Research - China, Beijing, China
	Jan H. Pieper	IBM Research - Almaden, San Jose, CA, USA
	Jeffrey S. Pierce	IBM Research - Almaden, San Jose, CA, USA
	Lucian Popa	IBM Research - Almaden, San Jose, CA, USA
	Christine M. Robson	IBM Research - Almaden, San Jose, CA, USA
	Lei Shi	IBM Research - China, Beijing, China
	Ioana R. Stanoi	IBM Research - Almaden, San Jose, CA, USA
	Edison L. Ting	IBM Silicon Valley Lab, San Jose, CA, USA
	Shivakumar Vaithyanathan	IBM Research - Almaden, San Jose, CA, USA
	Huahai Yang	IBM Research - Almaden, San Jose, CA, USA

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	· Proceeding
	SIGMOD '10 Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
	Pages 1187-1190 ACM New York, NY, USA ©2010 table of contents ISBN: 978-1-4503-0032-2 doi>10.1145/1807167.1807315

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Tags: data cleansing design financial data information extraction information integration miscellaneous

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