000 | 04033nam a22006255i 4500 | ||
---|---|---|---|
001 | 978-3-319-96116-3 | ||
003 | DE-He213 | ||
005 | 20210201191314.0 | ||
007 | cr nn 008mamaa | ||
008 | 180823s2018 gw | s |||| 0|eng d | ||
020 |
_a9783319961163 _9978-3-319-96116-3 |
||
050 | 4 | _aTK5105.5-5105.9 | |
072 | 7 |
_aUKN _2bicssc |
|
072 | 7 |
_aCOM075000 _2bisacsh |
|
072 | 7 |
_aUKN _2thema |
|
082 | 0 | 4 |
_a004.6 _223 |
100 | 1 |
_aCheng, Xiang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aMobile Big Data _h[electronic resource] / _cby Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
300 |
_aXII, 125 p. 37 illus., 36 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aWireless Networks, _x2366-1186 |
|
500 | _aAcceso multiusuario | ||
505 | 0 | _a1 Mobile Big Data -- 2 Source and Collection -- 3 Transmission -- 4 Computing -- 5 Applications -- 6 Case Study: Demand Forecasting for Predictive Network Managements -- 7 Case Study: User Identification for Mobile Privacy. | |
520 | _aThis book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile big data, and the case studies based on real-world data recently collected by one of the largest mobile network carriers in China. In the first component, four areas of mobile big data life cycle are surveyed: data source and collection, transmission, computing platform and applications. In the second component, two case studies are provided, based on the signaling data collected in the cellular core network in terms of subscriber privacy evaluation and demand forecasting for network management. These cases respectively give a vivid demonstration of what mobile big data looks like, and how it can be analyzed and mined to generate useful and meaningful information and knowledge. This book targets researchers, practitioners and professors relevant to this field. Advanced-level students studying computer science and electrical engineering will also be interested in this book as supplemental reading. . | ||
541 |
_fUABC ; _cTemporal ; _d01/01/2021-12/31/2023. |
||
650 | 0 | _aComputer communication systems. | |
650 | 0 | _aData mining. | |
650 | 0 | _aElectrical engineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 |
_aComputer Communication Networks. _0https://scigraph.springernature.com/ontologies/product-market-codes/I13022 |
650 | 2 | 4 |
_aData Mining and Knowledge Discovery. _0https://scigraph.springernature.com/ontologies/product-market-codes/I18030 |
650 | 2 | 4 |
_aCommunications Engineering, Networks. _0https://scigraph.springernature.com/ontologies/product-market-codes/T24035 |
650 | 2 | 4 |
_aArtificial Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/I21000 |
700 | 1 |
_aFang, Luoyang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aYang, Liuqing. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aCui, Shuguang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319961156 |
776 | 0 | 8 |
_iPrinted edition: _z9783319961170 |
776 | 0 | 8 |
_iPrinted edition: _z9783030071455 |
830 | 0 |
_aWireless Networks, _x2366-1186 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-96116-3 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cLIBRO_ELEC | ||
999 |
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