Handbook of Computational Social Science, Volume 2

Handbook of Computational Social Science, Volume 2

"The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportuni...

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保存先:
書誌詳細
その他の著者: Engel, Uwe (編集者), Quan-Haase, Anabel (編集者), Xun Liu, Sunny (編集者), Lyberg, Lars (編集者)
フォーマット: 図書の章
出版事項: Taylor & Francis 2021
主題:
Psychology
Psychological methodology
AI, big data, data analysis, data archives, data ownership, data science, digital trace, ethical standards, ethics, human-robot interaction, information technology, machine learning, open data, politics, policy, quantitative, replication, social, social media, socio-robots, survey data, survey design, survey methodology, unstructured data
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