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| 001 | 361420 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102121356.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 210722s2021 sz | s |||| 0|eng d | ||
| 020 | _a9783030830144 | ||
| 024 | 7 |
_a10.1007/978-3-030-83014-4 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.9 .D3 _b2021 EB |
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| 245 | 0 | 0 |
_aData Management Technologies and Applications : _b9th International Conference, DATA 2020, Virtual Event, July 7-9, 2020, Revised Selected Papers _cedited by Slimane Hammoudi, Christoph Quix, Jorge Bernardino |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2021 |
|
| 300 |
_a1 recurso en línea (XII, 319 páginas) _b98 ilustraciones, 72 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aCommunications in Computer and Information Science _x1865-0937 _v1446 |
|
| 490 | 0 | _aComputer Science (SpringerNature-11645) | |
| 490 | 0 | _aComputer Science (R0) (SpringerNature-43710) | |
| 505 | 0 | _aRemoving Operational Friction using Process Mining: Challenges Provided by the Internet of Production (IoP) -- Efficient Scheduling of Scientifc Workflow Actions in the Cloud based on Required Capabilities -- iTLM-Q: A Constraint-based Q-learning Approach for Intelligent Traffc Light Management -- Open Data in the Enterprise Context: Assessing Open Corporate Data's Readiness for Use -- A Data Science Approach to Explain a Complex Team Ball Game -- Intelligent Public Procurement Monitoring System Powered by Text Mining and Balanced Indicators -- Catalog Integration of Heterogeneous and Volatile Product Data -- Designing an Efficient Gradient Descent based Heuristic for Clusterwise Linear Regression for Large Datasets -- A Policy-agnostic Programming Language for the International Data Spaces -- Coreset-based Data Compression for Logistic Regression -- Product Classification using Partially Abbreviated Product Names, Brands and Dimensions -- An Environmental Study of French Neighbourhoods -- Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge. | |
| 520 | 3 | _aThis book constitutes the thoroughly refereed proceedings of the 9th International Conference on Data Management Technologies and Applications, DATA 2020, which was supposed to take place in Paris, France, in July 2020. Due to the Covid-19 pandemic the event was held virtually. The 14 revised full papers were carefully reviewed and selected from 70 submissions. The papers deal with the following topics: datamining; decision support systems; data analytics; data and information quality; digital rights management; big data; knowledge management; ontology engineering; digital libraries; mobile databases; object-oriented database systems; data integrity. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _9150569 _aSistemas de gestión de bases de datos |
|
| 700 | 1 |
_aHammoudi, Slimane _eeditor literario |
|
| 700 | 1 |
_aQuix, Christoph _eeditor literario |
|
| 700 | 1 |
_aBernardino, Jorge _eeditor literario |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-83014-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b01/2022 _dz _eu _zSI |
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