Geometrical and topological approaches to Big Data
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- 作者：Vá ; clav Sná ; &scaron ; ela ; vaclav.snasel@vsb.cz" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jana Nowaková ; a ; jana.nowakova@vsb.cz" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Fatos Xhafab ; fatos@cs.upc.edu" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Leonard Barollic ; barolli@fit.ac.jp" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Big Data ; Industry 4.0 ; Topological data analysis ; Persistent homology ; Dimensionality reduction ; Big Data visualization
- 刊名：Future Generation Computer Systems
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：67
- 期：Complete
- 页码：286-296
- 全文大小：1158 K
文摘
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An overview of state-of-the-art in geometrical and topological approach to Big Data.
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Trends in geometrical and topological approach to Big Data.
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Big Data visualization.
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Discussion of current techniques and future trends to address the applications.