PRINCIPLES AND PRACTICE OF BIG DATA : PREPARING, SHARING, AND ANALYZING COMPLEX INFORMATION /
Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on la...
| Main Authors: | , |
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| Format: | software, multimedia |
| Language: | eng |
| Published: |
London : Academic Press,
2018
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/book/9780128156094 |
| _version_ | 1796764870856671232 |
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| author | Berman, Jules J., author 321090 ScienceDirect (Online service) 7722 |
| author_facet | Berman, Jules J., author 321090 ScienceDirect (Online service) 7722 |
| author_sort | Berman, Jules J., author 321090 |
| collection | OCEAN |
| description | Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines. |
| first_indexed | 2024-03-05T17:16:12Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:603852 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:16:12Z |
| publishDate | 2018 |
| publisher | London : Academic Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6038522023-11-09T13:14:03ZPRINCIPLES AND PRACTICE OF BIG DATA : PREPARING, SHARING, AND ANALYZING COMPLEX INFORMATION / Berman, Jules J., author 321090 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 London : Academic Press,2018©2018engPrinciples and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines.Includes index.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 DataPrinciples and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines.Data mininghttps://www.sciencedirect.com/book/9780128156094URN:ISBN:9780128156094Remote access restricted to users with a valid UTM ID via VPN. |
| spellingShingle | Data mining Berman, Jules J., author 321090 ScienceDirect (Online service) 7722 PRINCIPLES AND PRACTICE OF BIG DATA : PREPARING, SHARING, AND ANALYZING COMPLEX INFORMATION / |
| title | PRINCIPLES AND PRACTICE OF BIG DATA : PREPARING, SHARING, AND ANALYZING COMPLEX INFORMATION / |
| title_full | PRINCIPLES AND PRACTICE OF BIG DATA : PREPARING, SHARING, AND ANALYZING COMPLEX INFORMATION / |
| title_fullStr | PRINCIPLES AND PRACTICE OF BIG DATA : PREPARING, SHARING, AND ANALYZING COMPLEX INFORMATION / |
| title_full_unstemmed | PRINCIPLES AND PRACTICE OF BIG DATA : PREPARING, SHARING, AND ANALYZING COMPLEX INFORMATION / |
| title_short | PRINCIPLES AND PRACTICE OF BIG DATA : PREPARING, SHARING, AND ANALYZING COMPLEX INFORMATION / |
| title_sort | principles and practice of big data preparing sharing and analyzing complex information |
| topic | Data mining |
| url | https://www.sciencedirect.com/book/9780128156094 |
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