| 000 | 03567nam a22005895i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-23501-6 | ||
| 003 | DE-He213 | ||
| 005 | 20240423130315.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 221209s2022 sz | s |||| 0|eng d | ||
| 020 |
_a9783031235016 _9978-3-031-23501-6 |
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| 024 | 7 |
_a10.1007/978-3-031-23501-6 _2doi |
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| 050 | 4 | _aQA76.9.B45 | |
| 072 | 7 |
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_aBig Data – BigData 2022 _h[electronic resource] : _b11th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10–14, 2022, Proceedings / _cedited by Bo Hu, Yunni Xia, Yiwen Zhang, Liang-Jie Zhang. |
| 250 | _a1st ed. 2022. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
|
| 300 |
_aXV, 89 p. 23 illus., 20 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 |
||
| 490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v13730 |
|
| 505 | 0 | _aA Massive Data Retrieval Method for Power Information Collection Systems -- Research and Application of the Data Resource Directory System of the Aerospace Enterprise -- Performance Analysis of Cross-border Mergers and Acquisitions of Baiyuan Pants Industry in the Internet Era -- Topic Modeling in the ENRON dataset -- Design of Multi-data Sources based Forest Fire Monitoring and Early Warning System -- Research on the pricing method of power data assets -- Research and Design on the Confirmation Method of Power Data Assets -- Big Data Technology in Real Estate Industry: Scenarios and Benefits -- Copyright and AI: Are extant laws adequate? | |
| 520 | _aThis book constitutes the proceedings of the 11th International Conference on Big Data, BigData 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 4 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The 2022 International Congress on Big Data (BigData 2022) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services". Big Data is a key enabler of exploring business insights and economics of services. | ||
| 650 | 0 | _aBig data. | |
| 650 | 0 | _aComputer engineering. | |
| 650 | 0 | _aComputer networks . | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 1 | 4 | _aBig Data. |
| 650 | 2 | 4 | _aComputer Engineering and Networks. |
| 650 | 2 | 4 | _aArtificial Intelligence. |
| 700 | 1 |
_aHu, Bo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aXia, Yunni. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aZhang, Yiwen. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aZhang, Liang-Jie. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031235009 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031235023 |
| 830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v13730 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-23501-6 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 912 | _aZDB-2-LNC | ||
| 942 | _cSPRINGER | ||
| 999 |
_c187203 _d187203 |
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