| 書目名稱 | Encyclopedia of Big Data | | 編輯 | Laurie A. Schintler,Connie L. McNeely | | 視頻video | http://file.papertrans.cn/310/309286/309286.mp4 | | 概述 | Presents the first comprehensive encyclopedic overview of big data.Pulls together a comprehensive set of multi-disciplinary, cutting edge, and emerging issues.Encompasses relevant research-based and p | | 圖書封面 |  | | 描述 | This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. ?Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” ?Social media and crowdsourcing platforms and various applications ― “apps” ― are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment. ?The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of theday. ?Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe. ?Digitization is being used to convert large | | 出版日期 | Reference work 2022 | | 關(guān)鍵詞 | Big Data; Data Science; Massive Data; Data Analysis; Database Management; Data Mining; Big Data Research a | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-32010-6 | | isbn_ebook | 978-3-319-32010-6 | | copyright | Springer Nature Switzerland AG 2022 |
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