Matthew Windham

Unstructured Data Analysis (eBook, ePUB)

Entity Resolution and Regular Expressions in SAS

• Format: ePub

Produktbeschreibung

Unstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively address the challenge of deriving value from that data. This book covers the five critical elements of entity extraction, unstructured data, entity resolution, entity network mapping and analysis, and entity management. By following examples of how to apply processing to unstructured data, readers will derive tremendous long-term value from this book as they enhance the value they realize from SAS products.

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Produktdetails

• Verlag: SAS Institute
• Seitenzahl: 166
• Erscheinungstermin: 14. September 2018
• Englisch
• ISBN-13: 9781635267099
• Artikelnr.: 54128808

Autorenporträt

Matthew Windham is a Principal Analytical Consultant in the SAS U.S. Government and Education practice, with a focus on federal law enforcement and national security programs. Before joining SAS, Matthew led teams providing mission support across numerous federal agencies within the U.S. Departments of Defense, Treasury, and Homeland Security. Matthew is passionate about helping clients improve their daily operations through the application of mathematical and statistical modeling, data and text mining, and optimization. A longtime SAS user, Matthew enjoys leveraging the breadth of the SAS platform to create innovative analytics solutions that have operational impact. Matthew is a Certified Analytics Professional. He received his BS in Applied Mathematics from NC State University and his MS in Mathematics and Statistics from Georgetown University.