Data-basedsystems – Bücher, CDs, LPs und mehr, Seite 9

Martin Kleppmann, Chris Riccomini

Designing Data-Intensive Applications

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's a…

Byron J. T. Morgan, Emily B. Dennis, Stephen T. Buckland

Statistical Models for Wildlife Survey Data

This book describes a range of models for ecological data sets using both classical and Bayesian methods of inference, and illustrates their use through a varied set of real examples. These examples exhib…

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…

Theresa Payton, Ted Claypoole

Privacy in the Age of Big Data

We have a global privacy problem. The average person provides their personal information to outsiders more than any other time in history. Corporations, governments and even our neighbors can know where w…

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 Science, Challenges and Applications in Industrial Operations

This book collects a selection of papers presented at the 19th International Conference on Industrial Engineering and Industrial Management and XXIX Congreso de Ingeniería de Organización (CIO2025), that …

Intelligent Data Engineering and Automated Learning - IDEAL 2025

This two-volume set, LNCS 16238 and LNCS 16239, constitutes the proceedings of the 26th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2025, which was held in Jaén,…

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

Bailar En La Cueva

Applied Computational Intelligence, Informatics and Big Data

This book LNICST 616 constitutes the proceedings of the First International Conference on Applied Computational Intelligence, Informatics and Big Data, ACIIBD 2024, held in Guangzhou, China, during July 2…

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…

Intelligent Data Engineering and Automated Learning - IDEAL 2025

This two-volume set, LNCS 16238 and LNCS 16239, constitutes the proceedings of the 26th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2025, which was held in Jaén,…

Environmental Policy Science's Exploration for Innovative Data

This edited volume discusses the use of nontraditional data sources in environmental political research and its implications for policymaking. Researchers involved in natural resource investigations and p…

AI and Data Science in Healthcare 5.0

AI and Data Science in Healthcare 5.0 delves into the innovative developments in Healthcare 5.0, focusing on smart medical robots, devices, and connected hospitals. It explores the role of robotics in mod…

Data-Centric Business and Applications

This book presents real-world applications across sectors, focusing on economic security, energy transitions, digital agriculture, ESG reporting, and investment strategies---all informed by the Ukrainian …

Sebastiano Vasi, Ulderico Wanderlingh, Giuseppe Mandaglio

Open Source Tools for Physics Data Analysis

This textbook aims to provide computing skills to analyze data collected by means of several types of experiments. Generally speaking, the analysis of data is complementary to experimental and/or theoreti…

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…

Kevin J Grimm

Categorical Data Analysis with Structural Equation Models

**Multivariate categorical outcomes, such as Likert scale responses and disease diagnoses, require specialized structural equation modeling (SEM) software to be analyzed properly.**Providing needed skills…

Denis Krutikov

Data Science und Machine Learning für alle

Die Begriffe Machine Learning, künstliche Intelligenz und Data Science sind inzwischen so allgegenwärtig in den Medien, in der Politik und in Unternehmen, dass in nahezu allen Bevölkerungs- und Berufsgrup…