Unstructured Data Analysis
Ce document est en accès libre.
- Auteur : Matthew Windham
- 2020
- 56min
- Informatique • Youscribe plus
- anglais
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Résumé
75 pages. Temps de lecture estimé 56min.
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.
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.
L'avis des bibliothèques
En cours de chargement ...Autres infos
- Editeur
- SAS Institute
- Année
- 2020
- Date de sortie
- 22/07/2020
- Auteurs
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- Matthew Windham - Auteur
- Format
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EPUB
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PDF
- Mode de lecture
-
Texte
- Thèmes
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Ebooks
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