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Principles of big data preparing, sharing, and analyzing complex information / Jules J Berman. [electronic resource] :

By: Material type: TextTextPublication details: Morgan Kaufmann c2013ISBN:
  • 9780124045767
Subject(s): Genre/Form: DDC classification:
  • 005.74 23
LOC classification:
  • QA76.9.D32 B47 2013
Online resources:
Contents:
Preface -- Introduction -- 1. Big Data Moves to the Center of the Universe -- 2. Measurement -- 3. Annotation -- 4. Identification, De-identification, and Re-identification -- 5. Ontologies and Semantics: How information is endowed with meaning -- 6. Standards and their Versions -- 7. Legacy Data -- 8. Hypothesis Testing -- 9. Prediction -- 10. Software -- 11. Complexity -- 12. Vulnerabilities -- 13. Legalities -- 14. Social and Ethical Issues
Summary: Computer science
List(s) this item appears in: Human resource Management
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Holdings
Item type Current library Collection Call number URL Status Date due Barcode Item holds
E-Books E-Books Library, Independent University, Bangladesh (IUB) Non-fiction 005.74 (Browse shelf(Opens below)) Link to resource Available
Total holds: 0

Includes bibliographical references (pages 247-255).

Preface -- Introduction -- 1. Big Data Moves to the Center of the Universe -- 2. Measurement -- 3. Annotation -- 4. Identification, De-identification, and Re-identification -- 5. Ontologies and Semantics: How information is endowed with meaning -- 6. Standards and their Versions -- 7. Legacy Data -- 8. Hypothesis Testing -- 9. Prediction -- 10. Software -- 11. Complexity -- 12. Vulnerabilities -- 13. Legalities -- 14. Social and Ethical Issues

License restrictions may limit access.

Computer science