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003			ES-MaUEC
005			20240314174435.0
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008			240103s2024 sz | o |||| 0|eng d
020			_a9783031421716
024	7		_a10.1007/978-3-031-42171-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ336 _b2024 EB
245	0	0	_aData Science-Analytics and Applications _b: Proceedings of the 5th International Data Science Conference-iDSC2023 _cedited by Peter Haber, Thomas J Lampoltshammer, Manfred Mayr
250			_afirst edition 2024
264		1	_aCham _c2024 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
505	0		_aComparison of Clustering Algorithms for Statistical Features of Vibration Data Sets -- Towards Measuring Vulnerabilities and Exposures in Open-Source Packages -- CSRX: A novel Crossover Operator for a Genetic Algorithm applied to the Traveling Salesperson Problem -- First Insight into Social Media User Sentiment Spreading Potential to Enhance the Conceptual Model for Disinformation Detection -- Hateful Messages: A Conversational Data Set of Hate Speech produced by Adolescents on Discord -- Prediction of Tourism Flow with Sparse Geolocation Data -- Popular and on the Rise - But Not Everywhere: COVID-19-Infographics on Twitter -- Taxonomy-enhanced Document Retrieval -- Robustness of Sentiment Analysis of Multilingual Twitter Postings -- Exploratory analysis of the applicability of formalised knowledge to personal experience narration -- Supply Chain Data Spaces - The next generation of data sharing -- Condition Monitoring and Anomaly Detection: Real-world Challenges and Successes -- Towards Validated Head Tracking On Moving Two-Wheelers -- A Framework for Inline Quality Inspection of mechanical components in an industrial production -- A Modular Test Bed for Reinforcement Learning Incorporation into Industrial Applications.
520			_aBased on the overall digitalization in all spheres of our lives, Data Science and Artificial Intelligence (AI) are nowadays cornerstones for innovation, problem solutions, and business transformation. Data, whether structured or unstructured, numerical, textual, or audiovisual, put in context with other data or analyzed and processed by smart algorithms, are the basis for intelligent concepts and practical solutions. These solutions address many application areas such as Industry 4.0, the Internet of Things (IoT), smart cities, smart energy generation, and distribution, and environmental management. Innovation dynamics and business opportunities for effective solutions for the essential societal, environmental, or health challenges, are enabled and driven by modern data science approaches. However, Data Science and Artificial Intelligence are forming a new field that needs attention and focused research. Effective data science is only achieved in a broad and diverse discourse - when data science experts cooperate tightly with application domain experts and scientists exchange views and methods with engineers and business experts. Thus, the 5th International Data Science Conference (iDSC 2023) brings together researchers, scientists, business experts, and practitioners to discuss new approaches, methods, and tools made possible by data science.
988			_aSpringer_Computer_2024
650		7	_2embne _aInteligencia artificial _vCongresos y asambleas _9413115
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-42171-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _ejc _zSI