Social Computing, Che

Автор: Rudolf Seising; Veronica Sanz Gonz?lez
Название: Soft Computing in Humanities and Social Sciences
ISBN: 3642441041 ISBN-13(EAN): 9783642441042
Издательство: Springer
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Описание: With soft computing in humanities and the social sciences at a major turning point, this volume assembles key recent research in a field in which former distinctions between `hard` science and the humanities are breaking down and opening up fresh horizons.

Автор: Che
Название: Social Computing
ISBN: 9811020523 ISBN-13(EAN): 9789811020520
Издательство: Springer
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Цена: 13696.00 р.
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Описание: This two volume set (CCIS 623 and 634) constitutes the refereed proceedings of the Second International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, held in Harbin, China, in August 2016. The 91 revised full papers presented were carefully reviewed and selected from 338 submissions. The papers are organized in topical sections on Research Track (Part I) and Education Track, Industry Track, and Demo Track (Part II) and cover a wide range of topics related to social computing, social media, social network analysis, social modeling, social recommendation, machine learning, data mining.

Автор: Meiselwitz
Название: Social Computing and Social Media
ISBN: 3319399098 ISBN-13(EAN): 9783319399096
Издательство: Springer
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Цена: 8944.00 р.
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Описание: This book constitutes the refereed proceedings of the 8th International Conference on Social Computing and Social Media, SCSM 2016, held as part of the 18th International Conference on Human-Computer Interaction, HCII 2016, held in Toronto, ON, Canada, in July 2016.

Автор: Torgo
Название: Data Mining with R
ISBN: 1439810184 ISBN-13(EAN): 9781439810187
Издательство: Taylor&Francis
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Цена: 9951.00 р.
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Описание: This hands-on book uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, it covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. The main data mining processes and techniques are presented through detailed, real-world case studies. With these case studies, the author supplies all necessary steps, code, and data. Mirroring the do-it-yourself approach of the text, the supporting website provides data sets and R code.

Автор: Jennifer Golbeck
Название: Computing with Social Trust
ISBN: 1849967938 ISBN-13(EAN): 9781849967938
Издательство: Springer
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Описание: `Trust` is used in a variety of ways in computing literature, and social trust is emerging as an important computational problem. This book brings together a collection of important work in computing social trust from computer science and related disciplines.