LEADER 04481nam 22005175 450 001 9910799225403321 005 20240103191912.0 010 $a3-031-42171-X 024 7 $a10.1007/978-3-031-42171-6 035 $a(CKB)29526889900041 035 $a(DE-He213)978-3-031-42171-6 035 $a(MiAaPQ)EBC31132582 035 $a(Au-PeEL)EBL31132582 035 $a(EXLCZ)9929526889900041 100 $a20240103d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Science?Analytics and Applications$b[electronic resource] $eProceedings of the 5th International Data Science Conference?iDSC2023 /$fedited by Peter Haber, Thomas J. Lampoltshammer, Manfred Mayr 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (X, 104 p. 41 illus., 36 illus. in color.) 311 08$a9783031421709 327 $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. 330 $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. 606 $aArtificial intelligence$xData processing 606 $aApplication software 606 $aData Science 606 $aComputer and Information Systems Applications 615 0$aArtificial intelligence$xData processing. 615 0$aApplication software. 615 14$aData Science. 615 24$aComputer and Information Systems Applications. 676 $a005.7 702 $aHaber$b Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLampoltshammer$b Thomas J$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMayr$b Manfred$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910799225403321 996 $aData Science?Analytics and Applications$93874603 997 $aUNINA