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| 020 | _a9783031378904 | ||
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_a10.1007/978-3-031-37890-4 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.9 .D3 _b2023 EB |
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_aData Management Technologies and Applications : _b10th International Conference, DATA 2021, Virtual Event, July 6-8, 2021, and 11th International Conference, DATA 2022, Lisbon, Portugal, July 11-13, 2022, Revised Selected Papers _cedited by Alfredo Cuzzocrea, Oleg Gusikhin, Slimane Hammoudi, Christoph Quix |
| 250 | _a1st ed 2023 | ||
| 264 | 1 |
_aCham _bSpringer Nature Switzerland _c2023 |
|
| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 |
_aCommunications in Computer and Information Science _x1865-0937 _v1860 |
|
| 505 | 0 | _aPapers -- A Survey-based Evaluation of the Data Engineering Maturity in Practice -- Automating Data Quality Monitoring with Reference Data Profiles -- Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews -- SubTempora: A Hybrid Approach for Optimising Subgraph Searching -- Exploring Instagram and Youtube Data to Extract User Insights: The Greek Paradigm -- Automatic Detection of Facial Landmarks for Denture Models -- Combining Image and Text Matching for Product Classification in Retail -- Automatic Sentiment Labelling of Multimodal Data -- From Cracked Accounts to Fake IDs: User Profiling on German Telegram Black Market Channels -- Data Mining and Machine Learning to Predict the Sulphur Content in the Hot Metal of a Coke-Fired Blast Furnace -- Automatic Instructional Feedback, and a Lecture Hub System: A Strategy towards Nurturing the Acquisition of a Structured Engagement Behavior. | |
| 520 | _aThis book constitutes the refereed post-proceedings of the 10th International Conference and 11th International Conference on Data Management Technologies and Applications, DATA 2021 and DATA 2022, was held virtually due to the COVID-19 crisis on July 6-8, 2021 and in Lisbon, Portugal on July 11-13, 2022. The 11 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data. | ||
| 988 | _aSpringer_Computer_2023 | ||
| 650 | 7 |
_2embne _9150569 _aSistemas de gestión de bases de datos _vCongresos y asambleas |
|
| 650 | 7 |
_2embne _9162648 _aData mining _vCongresos y asambleas |
|
| 830 | 0 |
_aCommunications in Computer and Information Science, _x1865-0937 ; _v1860 |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-37890-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b03/2024 _dz _eIG _zSI |
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