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Christof Niemann-Mall

Data Business: Wie digitale Transformation gelingt

Dieses Buch ist Ihre Abkürzung zum umfassenden Verständnis datengetriebener Unternehmen. Es hilft Ihnen auf kurzweilige, leicht verständliche und praxisnahe Weise, Themen wie digitale Transformation, Dat…

Transactions on Large-Scale Data- and Knowledge-Centered Systems LVIII

The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer scienc…

Christof Niemann-Mall

Data Business: Wie digitale Transformation gelingt

Dieses Buch ist Ihre Abkürzung zum umfassenden Verständnis datengetriebener Unternehmen. Es hilft Ihnen auf kurzweilige, leicht verständliche und praxisnahe Weise, Themen wie digitale Transformation, Dat…

Ines Adouani, Chafik Samir

Regression and Fitting on Manifold-valued Data

This book introduces in a constructive manner a general framework for regression and fitting methods for many applications and tasks involving data on manifolds. The methodology has important and varied a…

Proceedings of the 4th International Conference on¿ Big Data and Artificial Intelligence Applications (ICBDAIA'25)

This book presents innovative research exploring the convergence of Artificial Intelligence, Big Data, and Cybersecurity. It highlights novel methodologies and real-world applications that address technol…

Michael Roberts

The Data Book for Educators Who Don't Like Data (and Those Who Want to Use Data Better)

Data is one of the most powerful guides to instructional efficacy, revealing insights about the students you serve. Author Michael Roberts challenges educators to move past correlative data to active, dat…

Mistale Taylor

Transatlantic Jurisdictional Conflicts in Data Protection Law

This book looks at transatlantic jurisdictional conflicts in data protection law and how the fundamental right to data protection conditions the EU's exercise of extraterritorial jurisdiction. Governments…

Annotation of Real-World Data for Artificial Intelligence Systems

This volume constitutes the refereed proceedings of 9th International Workshop on Annotation of Real-World Data for Artificial Intelligence Systems, ARDUOUS 2025, held in Bologna, Italy, during October 25…

Luca Belli, Walter Britto Gaspar

Personal Data Architectures in the Brics Countries

The BRICS nations-Brazil, Russia, India, China, and South Africa-recently committed, as enshrined in their 2024 Declaration, to jointly promoting a global framework for data governance. As the number of n…

Strategic HR Analytics

This book provides a timely and accessible account of how HR analytics is reshaping the way organisations manage people and make decisions. It moves beyond traditional human resource management by showing…

Navnit Shukla, Kien Pham, Srikanth Sopirala, Harsha Tadiparthi

AI-Ready Data Blueprints

Companies innovating with generative AI understand that having the right data foundation is critical for success and profitability. To best position themselves for long-term success, organizations must pr…

Heath Rose, Jim Mckinley, Sihan Zhou

Data Collection Research Methods in Applied Linguistics

The second edition of Data Collection Research Methods in Applied Linguistics investigates how research is conducted in the field, encompassing the challenges and obstacles applied linguists face in colle…

Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

Mahesh Subramaniam, Michal Styszynski, Himanshu Tambakuwala

AI Data Center Network Design and Technologies

Artificial intelligence is redefining the scale, architecture, and performance expectations of modern data centers. Training large ML models demand infrastructure capable of moving massive data sets throu…

Data-Driven Decision Making for Product Service Systems

This book is a compilation of theoretical and practical contributions aimed at facilitating the servitization of manufacturing companies, specifically focusing on data-driven decision-making within the co…

Heath Rose, Jim Mckinley, Sihan Zhou

Data Collection Research Methods in Applied Linguistics

The second edition of Data Collection Research Methods in Applied Linguistics investigates how research is conducted in the field, encompassing the challenges and obstacles applied linguists face in colle…

Data-Driven Diagnostics and Disease Prediction with AI Optimization

Data-Driven Diagnostics and Disease Prediction with AI Optimizationprovides useful insights into model creation, data preparation, and ethical issues for healthcare applications. The book covers all the c…

Trends in Computer Engineering, Data Science and Artificial Intelligence

This book constitutes the proceedings of the 6th International Conference on Advances in Emerging Trends and Technologies (ICAETT 2024), held in Riobamba, Ecuador, on 17--18 October 2024, proudly organize…

Jorge Drexler

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