Data Science – Analytics and Applications: Proceedings of the 4th International Data Science Conference – iDSC2021
Editat de Peter Haber, Thomas J. Lampoltshammer, Helmut Leopold, Manfred Mayren Limba Engleză Mixed media product – 30 mar 2022
Observăm în Data Science – Analytics and Applications o structură progresivă: de la concept la implementare, menită să răspundă nevoii actuale de flexibilitate în proiectele de analiză a datelor. Suntem de părere că tranziția de la managementul de proiect clasic, rigid, către abordările agile este esențială pentru a reflecta natura non-deterministică a științei datelor. Volumul, ce reprezintă lucrările conferinței iDSC 2021, documentează exact acest pas crucial pentru procesele de business analitice.
Ca și Russell Jurney în Agile Data Science 2.0, editorii distilează experiență reală în principii acționabile, demonstrând cum dezvoltarea evolutivă, pas cu pas, poate duce la realizarea unor aplicații de business robuste. Cartea este organizată riguros, începând cu o privire de ansamblu asupra soluțiilor AI europene și continuând cu secțiuni dedicate cercetării (Research Track) și industriei (Industry Track). Această segmentare, vizibilă în cuprins, indică o acoperire echilibrată între rigoarea academică și pragmatismul necesar în implementarea proceselor de data mining.
În contextul operei editorilor, acest volum continuă direcția stabilită de Peter Haber în lucrările sale anterioare din seria Data Science—Analytics and Applications. Dacă proiecte precum Historyblogosphere explorau digitalizarea în sfere umaniste, volumul de față ancorează expertiza autorilor în nucleul inovației tehnologice actuale: AI și Machine Learning. Prin integrarea rezumatelor în limba germană alături de textele integrale în limba engleză, lucrarea devine un punct de referință pentru ecosistemul de date central-european, oferind bune practici și studii de caz care transformă teoria în valoare economică.
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Specificații
ISBN-13: 9783658362942
ISBN-10: 3658362944
Pagini: 101
Ilustrații: XIV, 101 p. 32 illus., 20 illus. in color. Book + eBook.
Dimensiuni: 210 x 279 mm
Greutate: 0.5 kg
Ediția:2022
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Vieweg
Locul publicării:Wiesbaden, Germany
ISBN-10: 3658362944
Pagini: 101
Ilustrații: XIV, 101 p. 32 illus., 20 illus. in color. Book + eBook.
Dimensiuni: 210 x 279 mm
Greutate: 0.5 kg
Ediția:2022
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Vieweg
Locul publicării:Wiesbaden, Germany
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De ce să citești această carte
Recomandăm această lucrare profesioniștilor și cercetătorilor care doresc să depășească barierele managementului tradițional în proiectele de date. Cititorul câștigă acces la metodologii agile aplicate specific în AI și data mining, învățând cum să gestioneze incertitudinea analizelor complexe prin iterații rapide. Este un ghid tehnic indispensabil pentru implementarea unor soluții de machine learning scalabile și adaptabile cerințelor de business în continuă schimbare.
Despre autor
Peter Haber, Thomas J. Lampoltshammer, Helmut Leopold și Manfred Mayr sunt experți recunoscuți în domeniul tehnologiei informației și științei datelor, activând la intersecția dintre mediul academic și cel industrial. Peter Haber are o experiență vastă în documentarea impactului digitalizării, coordonând anterior proiecte de cercetare despre istoria digitală și blogosferă. Împreună, echipa de editori a transformat conferința iDSC într-un hub european pentru inovație în Data Science. Expertiza lor colectivă acoperă întregul spectru al analiticii moderne, de la infrastructuri de date la strategii de implementare a inteligenței artificiale în cadrul Springer Fachmedien Wiesbaden.
Descriere scurtă
Organizations have moved already from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects, which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are required due to architectural design decisions. With data science having established itself as corner stone within organizations and businesses, it is now imperative to perform this crucial step for analytical business processes as well. The non-deterministic nature of data science and its inherent analytical tasks require an interactive approach towards an evolutionary step-by-step development to realize core essential business applications and use cases.
The 4th International Data Science Conference (iDSC) 2021 brought together researchers, scientists, and business experts to discuss means of establishing new ways of embracing agile approaches within the various domains of data science, such as machine learning and AI, data mining, or visualization and communication as well as case studies and best practices from leading research institutions and business companies.
The proceedings include all full papers presented in the scientific track and the corresponding German abstracts as well as the short papers from the student track.
Among the topics of interest are:
The proceedings include all full papers presented in the scientific track and the corresponding German abstracts as well as the short papers from the student track.
Among the topics of interest are:
- Artificial Intelligence and Machine Learning
- Implementation of data mining processes
- Agile Data Science and Visualization
- Case Studies and Applications for Agile Data Science
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Organisationen sind bereits von der starren Struktur des klassischen Projektmanagements zu agilen Ansätzen übergegangen. Dies gilt auch für Softwareentwicklungsprojekte, die flexibel sein müssen, um schnell auf die Wünsche der Kunden reagieren zu können und um Änderungen zu berücksichtigen, die aufgrund von Architekturentscheidungen erforderlich sind. Nachdem sich die Datenwissenschaft als Eckpfeiler in Organisationen und Unternehmen etabliert hat, ist es nun zwingend erforderlich, diesen entscheidenden Schritt auch für analytische Geschäftsprozesse durchzuführen. Die nicht-deterministische Natur der Datenwissenschaft und die ihr innewohnenden analytischen Aufgaben erfordern einen interaktiven Ansatz für eine evolutionäre, schrittweise Entwicklung zur Realisierung der wichtigsten Geschäftsanwendungen und Anwendungsfälle.
Die 4. Internationale Konferenz zur Datenwissenschaft (iDSC 2021) brachte Forscher, Wissenschaftler und Wirtschaftsexperten zusammen, um Möglichkeiten zu erörtern, wie neue Wege zur Umsetzung agiler Ansätze in den verschiedenen Bereichen der Datenwissenschaft, wie maschinelles Lernen und KI, Data Mining oder Visualisierung und Kommunikation, sowie Fallstudien und Best Practices von führenden Forschungseinrichtungen und Wirtschaftsunternehmen etabliert werdenkönnen.
Der Tagungsband umfasst alle im wissenschaftlichen Track vorgestellten Volltexte und die Kurzbeiträge aus dem studentischen Track auf Englisch und die dazugehörigen Abstracts auf Deutsch.
Zu den Themen, die sie interessieren, gehören unter anderem:
Die 4. Internationale Konferenz zur Datenwissenschaft (iDSC 2021) brachte Forscher, Wissenschaftler und Wirtschaftsexperten zusammen, um Möglichkeiten zu erörtern, wie neue Wege zur Umsetzung agiler Ansätze in den verschiedenen Bereichen der Datenwissenschaft, wie maschinelles Lernen und KI, Data Mining oder Visualisierung und Kommunikation, sowie Fallstudien und Best Practices von führenden Forschungseinrichtungen und Wirtschaftsunternehmen etabliert werdenkönnen.
Der Tagungsband umfasst alle im wissenschaftlichen Track vorgestellten Volltexte und die Kurzbeiträge aus dem studentischen Track auf Englisch und die dazugehörigen Abstracts auf Deutsch.
Zu den Themen, die sie interessieren, gehören unter anderem:
- Künstliche Intelligenz und Maschinelles Lernen
- Implementierung von Data-Mining-Prozessen
- Agile Datenwissenschaft und Visualisierung
- Fallstudien und Anwendungen für Agile Datenwissenschaft
Cuprins
Preface.- An overview of AI solutions “Made in Austria”.- Data boost industry-academia link.- Research Track.- German Abstracts.- Full Papers.- Peer Reviewed - Industry Track.- Abstracts.- Provided Papers.- Non Reviewed.
Notă biografică
Peter Haber is Assistant Professor of Information and Communication Technology, in particular for analog and digital signal processing, and responsible coordinator for system theory and electrical engineering at Salzburg University of Applied Sciences. He is a researcher and project manager, leading and coordinating national and international projects in the field of IT and IT management, while also integrating data science solutions at businesses. Since 2009 he has been a member of the international advisory board for the IATED conferences.
Thomas Lampoltshammer is an Assistant Professor for ICT and Deputy Head of the Centre for E-Governance at the Department of E-Governance and Administration, Danube University Krems, Austria. His current research focus is on the domain of data governance, the effects of ICT application in a connected society, and the effects on a data-driven society. He has a substantial background inthe design and implementation of expert and decision-making systems, data analytics, and semantic-based reasoning.
Helmut Leopold is the Head of Center for Digital Safety&Security at the AIT Austrian Institute of Technology and is responsible for research areas such as artificial intelligence and cyber security. Prior to AIT, Mr. Leopold was at Alcatel and at Telekom Austria where he played a major role in the digitalization transformation of the organisation. He graduated in computer science from the TU Vienna and holds a PhD from the Lancaster University in England.
Manfred Mayr is the Academic Program Director for “Business Informatics and Digital Transformation” as well department head for IT-Management at Salzburg University of Applied Sciences. He is a lecturer at international conferences and the author of various publications in the field of business informatics and business applications. The digitalisation of ERP applications in the industrial environment is a long-standing and important field of his research. In addition, he has coordinated several national and international research projects.
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Peter Haber ist Professor für Informations- und Kommunikationstechnik, insbesondere für analoge und digitale Signalverarbeitung, und verantwortlicher Koordinator für Systemtheorie und Elektrotechnik an der Fachhochschule Salzburg. Er ist Forscher und Projektleiter, leitet und koordiniert nationale und internationale Projekte im Bereich IT und IT-Management und integriert datenwissenschaftliche Lösungen in Unternehmen. Seit 2009 ist er Mitglied des internationalen Beirats für die IATED-Konferenzen.
Thomas Lampoltshammer ist Assistenzprofessor für IKT und stellvertretender Leiter des Zentrums für E-Governance am Lehrstuhl für E-Governance und Verwaltung, Donau-Universität Krems, Österreich. Sein aktueller Forschungsschwerpunkt liegt auf dem Gebiet der Datenverwaltung, den Auswirkungen der IKT-Anwendung in einer vernetzten Gesellschaft und den Auswirkungen auf eine datengesteuerte Gesellschaft. Er verfügt über einen substantiellen Hintergrund im Design und in der Implementierung von Experten- und Entscheidungssystemen, Datenanalyse und semantisch-basierter Argumentation.
Helmut Leopold leitet das Center for Digital Safety&Security am AIT Austrian Institute of Technology und ist verantwortlich für Forschungsbereiche wie Künstliche Intelligenz und Cybersecurity. Davor war er bei Alcatel und Telekom Österreich tätig, wo er eine maßgebliche Rolle bei der digitalen Transformation spielte. Er hat Informatik an der TU Wien studiert und an der Lancaster University in England promoviert.
Manfred Mayr ist Akademischer Programmdirektor für "Wirtschaftsinformatik und digitale Transformation" sowie Abteilungsleiter für IT-Management an der Fachhochschule Salzburg. Er ist Vortragender bei internationalen Konferenzen und Autor verschiedener Publikationen im Bereich der Wirtschaftsinformatik und forscht zu betriebswirtschaftlichen Anwendungen der Datenwissenschaft. Die Digitalisierung von ERP-Anwendungen im industriellen Umfeld ist ein langjähriges und wichtiges Feld seiner Forschung. Darüber hinaus hat er mehrere nationale und internationale Forschungsprojekte koordiniert.
Die Herausgeber sind die Konferenzvorsitzenden der International Data Science Conference.
Thomas Lampoltshammer ist Assistenzprofessor für IKT und stellvertretender Leiter des Zentrums für E-Governance am Lehrstuhl für E-Governance und Verwaltung, Donau-Universität Krems, Österreich. Sein aktueller Forschungsschwerpunkt liegt auf dem Gebiet der Datenverwaltung, den Auswirkungen der IKT-Anwendung in einer vernetzten Gesellschaft und den Auswirkungen auf eine datengesteuerte Gesellschaft. Er verfügt über einen substantiellen Hintergrund im Design und in der Implementierung von Experten- und Entscheidungssystemen, Datenanalyse und semantisch-basierter Argumentation.
Helmut Leopold leitet das Center for Digital Safety&Security am AIT Austrian Institute of Technology und ist verantwortlich für Forschungsbereiche wie Künstliche Intelligenz und Cybersecurity. Davor war er bei Alcatel und Telekom Österreich tätig, wo er eine maßgebliche Rolle bei der digitalen Transformation spielte. Er hat Informatik an der TU Wien studiert und an der Lancaster University in England promoviert.
Manfred Mayr ist Akademischer Programmdirektor für "Wirtschaftsinformatik und digitale Transformation" sowie Abteilungsleiter für IT-Management an der Fachhochschule Salzburg. Er ist Vortragender bei internationalen Konferenzen und Autor verschiedener Publikationen im Bereich der Wirtschaftsinformatik und forscht zu betriebswirtschaftlichen Anwendungen der Datenwissenschaft. Die Digitalisierung von ERP-Anwendungen im industriellen Umfeld ist ein langjähriges und wichtiges Feld seiner Forschung. Darüber hinaus hat er mehrere nationale und internationale Forschungsprojekte koordiniert.
Die Herausgeber sind die Konferenzvorsitzenden der International Data Science Conference.
Textul de pe ultima copertă
Recent technological advancements in the domains of Artificial Intelligence, Internet of Things and Production 4.0 have generated a fertile ground for plentiful data science investigations. In parallel data science developments have also gained momentum at several industrial settings to support and improve production outputs as well as market performances.
The yearly International Data Science Conference (iDSC) 2021, in its fourth edition, virtually presented by AIT Austrian Institute of Technology on 20th an 21st October, therefore followed once more its founding mission, to team scientists and researchers on one hand and industrial practitioners on the other to common discuss the latest data science innovations from a diverse range of research backgrounds and to showcase new implementations from factory shop floors or from sensor driven applications in the field.
The six thematic sessions of the conference have been mirroring allthe top issues of the data science discipline ranging from challenges in the industrial setting, via Deep and Machine learning methodologies and NLP approaches up to future innovation strategies. While the Research Track had a strong emphasis on Safety and Security matters like Anomaly Detection, Integrity Awareness or Ethical fairness of AI e.g., the Industry Track more made deep reflections on the Scaling of Business models, Infrastructure and Software, the Use of Data Science in SMEs, or the development of Data Ecosystems as an Incubator for Data Innovation.
The conference proceedings contain the peer-reviewed full papers of the research track and the corresponding German abstracts as well as short papers from the industry track.
The EditorsPeter Haber is Assistant Professor of Information and Communication Technology, in particular for analog and digital signal processing, and responsible coordinator for system theory andelectrical engineering at Salzburg University of Applied Sciences. He is a researcher and project manager, leading and coordinating national and international projects in the field of IT and IT management, while also integrating data science solutions at businesses. Since 2009 he has been a member of the international advisory board for the IATED conferences.
Thomas Lampoltshammer is an Assistant Professor for ICT and Deputy Head of the Centre for E-Governance at the Department of E-Governance and Administration, Danube University Krems, Austria. His current research focus is on the domain of data governance, the effects of ICT application in a connected society, and the effects on a data-driven society. He has a substantial background in the design and implementation of expert and decision-making systems, data analytics, and semantic-based reasoning.
Helmut Leopold is the Head of Center for Digital Safety&Security at the AIT Austrian Instituteof Technology and is responsible for research areas such as artificial intelligence and cyber security. Prior to AIT, Mr. Leopold was at Alcatel and at Telekom Austria where he played a major role in the digitalization transformation of the organisation. He graduated in computer science from the TU Vienna and holds a PhD from the Lancaster University in England.
Manfred Mayr is the Academic Program Director for “Business Informatics and Digital Transformation” as well department head for IT-Management at Salzburg University of Applied Sciences. He is a lecturer at international conferences and the author of various publications in the field of business informatics and business applications. The digitalisation of ERP applications in the industrial environment is a long-standing and important field of his research. In addition, he has coordinated several national and international research projects.
Caracteristici
Aktuelle Data-Science-Themen Spezifische Data-Science-Fragestellungen Collects papers from the 4th International Data Science Conference - iDSC 2021