MARC details
| 000 -LEADER |
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| fixed length control field |
02286nam a22002777a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20230113181433.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230113b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780367568597 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
300.2856312 |
| Item number |
FOS |
| 245 ## - TITLE STATEMENT |
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| Title |
Big data and social science: |
| Remainder of title |
data science methods and tools for research and practice |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
2nd |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc. |
CRC Press |
| Place of publication, distribution, etc. |
Boco Raton |
| Date of publication, distribution, etc. |
2021 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xx, 391 p. |
| 365 ## - TRADE PRICE |
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| Price type code |
GBP |
| Price amount |
48.99 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Table of Contents<br/>1. Introduction<br/>2. Working with Web Data and APIs - Cameron Neylon<br/>3. Record Linkage - Joshua Tokle and Stefan Bender<br/>4. Databases - Ian Foster and Pascal Heus<br/>5. Scaling up through Parallel and Distributed Computing - Huy Vo and Claudio Silva<br/>6. Information Visualization - M. Adil Yalcin and Catherine Plaisant<br/>7. Machine Learning - Rayid Ghani and Malte Schierholz<br/>8. Text Analysis - Evgeny Klochikhin and Jordan Boyd-Graber<br/>9. Networks: The Basics - Jason Owen-Smith<br/>10. Data Quality and Inference Errors - Paul P. Biemer<br/>11. Bias and Fairness - Kit T. Rodolfa, Pedro Saleiro, and Rayid Ghani<br/>12. Privacy and Confidentiality - Stefan Bender, Ron Jarmin, Frauke Kreuter, and Julia Lane<br/>13. Workbooks - Brian Kim, Christoph Kern, Jonathan Scott Morgan, Clayton Hunter, and Avishek Kumar |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Social sciences--Data processing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Big data |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Data mining |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Social sciences--Statistical methods |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Foster, Ian |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Ghani, Rayid |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Jarmin, Ron S. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Kreuter, Frauke |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |