书目名称 | Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories | 编辑 | Berkay Aydin,Rafal. A Angryk | 视频video | | 丛书名称 | SpringerBriefs in Computer Science | 图书封面 |  | 描述 | .This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining algorithms. While the focus of this book is to provide readers insight into the mining algorithms from evolving regions, the authors also discuss data management for spatiotemporal trajectories, which has become increasingly important with the increasing volume of trajectories..This brief describes state-of-the-art knowledge discovery techniques to computer science graduate students who are interested in spatiotemporal data mining, as well as researchers/professionals, who deal with advanced spatiotemporal data analysis in their fields. These fields include GIS-experts, meteorologists, epidemiologists, neurologists, and solar physicists.. | 出版日期 | Book 2018 | 关键词 | frequent pattern mining; data mining; spatiotemporal trajectory; evolving region; spatiotemporal data mi | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-99873-2 | isbn_softcover | 978-3-319-99872-5 | isbn_ebook | 978-3-319-99873-2Series ISSN 2191-5768 Series E-ISSN 2191-5776 | issn_series | 2191-5768 | copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2018 |
The information of publication is updating
|
|