| 书目名称 | Mobile Data Mining | | 编辑 | Yuan Yao,Xing Su,Hanghang Tong | | 视频video | | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | .This SpringerBrief presents a typical life-cycle of mobile data mining applications, including:.data capturing and processing which determines what data to collect, how to collect these data, and how to reduce the noise in the data based on smartphone sensors. feature engineering which extracts and selects features to serve as the input of algorithms based on the collected and processed data. model and algorithm design.In particular, this brief concentrates on the model and algorithm design aspect, and explains three challenging requirements of mobile data mining applications: energy-saving, personalization, and real-time. Energy saving is a fundamental requirement of mobile applications, due to the limited battery capacity of smartphones. The authors explore the existing practices in the methodology level (e.g. by designing hierarchical models) for saving energy. Another fundamental requirement of mobile applications is personalization. Most of the existing methods tend to train generic models for all users, but the authors provide existing personalized treatments for mobile applications, as the behaviors may differ greatly from one user to another in many mobile applications. | | 出版日期 | Book 2018 | | 关键词 | Mobile data; data mining; data capturing; energy-saving; personalization; online update; travel mode detec | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-02101-6 | | isbn_softcover | 978-3-030-02100-9 | | isbn_ebook | 978-3-030-02101-6Series 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 |
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发表于 2025-3-21 16:23:00
