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Principles of Big Data /

By: Berman, JulesMaterial type: Text

TextPublication details: Elsevier, 2013ISBN: 9780124045767Online resources: Click here to access online

Contents:

Chapter 1 - Providing Structure to Unstructured Data Chapter 2 - Identification, Deidentification, and Reidentification Chapter 3 - Ontologies and Semantics Chapter 4 - Introspection Chapter 5 - Data Integration and Software Interoperability Chapter 6 - Immutability and Immortality Chapter 7 - Measurement Chapter 8 - Simple but Powerful Big Data Techniques Chapter 9 - Analysis Chapter 10 - Special Considerations in Big Data Analysis Chapter 11 - Stepwise Approach to Big Data Analysis Chapter 12 - Failure Chapter 13 - Legalities Chapter 14 - Societal Issues Chapter 15 - The Future

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
e-Books	Central Library, Sikkim University		Not for loan		E-694

Total holds: 0

Chapter 1 - Providing Structure to Unstructured Data

Chapter 2 - Identification, Deidentification, and Reidentification

Chapter 3 - Ontologies and Semantics

Chapter 4 - Introspection

Chapter 5 - Data Integration and Software Interoperability

Chapter 6 - Immutability and Immortality

Chapter 7 - Measurement

Chapter 8 - Simple but Powerful Big Data Techniques

Chapter 9 - Analysis

Chapter 10 - Special Considerations in Big Data Analysis

Chapter 11 - Stepwise Approach to Big Data Analysis

Chapter 12 - Failure

Chapter 13 - Legalities

Chapter 14 - Societal Issues

Chapter 15 - The Future

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