000 | 04009nam a22005535i 4500 | ||
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001 | 978-3-030-02101-6 | ||
003 | DE-He213 | ||
005 | 20210201191321.0 | ||
007 | cr nn 008mamaa | ||
008 | 181031s2018 gw | s |||| 0|eng d | ||
020 |
_a9783030021016 _9978-3-030-02101-6 |
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050 | 4 | _aQA75.5-76.95 | |
072 | 7 |
_aUT _2bicssc |
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072 | 7 |
_aCOM069000 _2bisacsh |
|
072 | 7 |
_aUT _2thema |
|
082 | 0 | 4 |
_a005.7 _223 |
100 | 1 |
_aYao, Yuan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aMobile Data Mining _h[electronic resource] / _cby Yuan Yao, Xing Su, Hanghang Tong. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
300 |
_aIX, 58 p. 22 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
|
500 | _aAcceso multiusuario | ||
505 | 0 | _a1 Introduction -- 2 Data Capturing and Processing -- 3 Feature Engineering -- 4 Hierarchical Model -- 5 Personalized Model -- 6 Online Model -- 7 Conclusions. | |
520 | _aThis 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. The third requirement is real-time. That is, the mobile application should return responses in a real-time manner, meanwhile balancing effectiveness and efficiency. This SpringerBrief targets data mining and machine learning researchers and practitioners working in these related fields. Advanced level students studying computer science and electrical engineering will also find this brief useful as a study guide. . | ||
541 |
_fUABC ; _cTemporal ; _d01/01/2021-12/31/2023. |
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650 | 0 | _aComputers. | |
650 | 0 | _aComputer communication systems. | |
650 | 1 | 4 |
_aInformation Systems and Communication Service. _0https://scigraph.springernature.com/ontologies/product-market-codes/I18008 |
650 | 2 | 4 |
_aComputer Communication Networks. _0https://scigraph.springernature.com/ontologies/product-market-codes/I13022 |
700 | 1 |
_aSu, Xing. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aTong, Hanghang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030021009 |
776 | 0 | 8 |
_iPrinted edition: _z9783030021023 |
830 | 0 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-030-02101-6 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cLIBRO_ELEC | ||
999 |
_c242081 _d242080 |