書名: Exploring Big Historical Data (2版)
作者: GRAHAM
版次: 2
ISBN: 9789811243981
出版社: World Scientific
出版日期: 2022/02
頁數: 304
#資訊
#雲端計算與大數據
定價: 1454
售價: 1381
庫存: 庫存: 1
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詳細資訊

Every day, more and more kinds of historical data become available, opening exciting new avenues of inquiry but also new challenges. This updated and expanded book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines or designing and using their own tools to process large amounts of information. Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Originally authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future. Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings. Request Inspection Copy Sample Chapter(s) Preface Chapter 1: The Joys of Big Data for Historians Contents: Acknowledgements Figures, URLs, and Code Preface The Joys of Big Data for Historians The DH Moment Data Mining Tools: Techniques and Visualizations Topic Modeling: A Hands-On Adventure in Big Data Making Your Data Legible: A Basic Introduction to Visualizations Network Analysis Networks in Practice Conclusion Index Readership: Researchers, graduate and undergraduate students in the field of Digital Humanities, and people looking to digitize historical archives.

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