Mobile Data Mining
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 designIn 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 funda…
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Produktdetails
Weitere Autoren: Su, Xing / Tong, Hanghang
- ISBN: 978-3-030-02101-6
- EAN: 9783030021016
- Produktnummer: 29267568
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Plattform: PDF
- Masse: 2'084 KB
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