Principles and practice of big data : preparing, sharing, and analyzing complex information /: preparing, sharing, and analyzing complex information. ([2018])

• Record Type: Book
• Further Information: Note: Jules J. Berman.
• Authors: Berman, Jules J
• Contents: 1. Introduction 2. Providing Structure to Unstructured Data 3. Identification, Deidentification, and Reidentification 4. Metadata, Semantics, and Triples 5. Classifications and Ontologies 6. Introspection 7. Data Integration and Software Interoperability 8. Immutability and Immortality 9. Assessing the Adequacy of a Big Data Resource 10. Measurement 11. Indispensable Tips for Fast and Simple Big Data Analysis 12. Finding the Clues in Large Collections of Data 13. Using Random Numbers to Bring Your Big Data Analytic Problems Down to Size 14. Special Considerations in Big Data Analysis 15. Big Data Failures and How to Avoid (Some of) Them 16. Legalities 17. Data Sharing 18. Data Reanalysis: Much More Important than Analysis 19. Repurposing Big Data
• Edition: Second edition
• Publisher Details: London : Academic Press
• Publication Date: 2018
• Copyright Date: 2018
• Extent: 1 online resource
• Subjects: 005.7; COMPUTERS / Databases / Data Mining; Big data; Electronic books
• Languages: English
• ISBNs: 9780128156100; 0128156104
• Related ISBNs: 9780128156094
• Notes: Note: Includes bibliographical references and index.; Note: Vendor-supplied metadata.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.