Data-DrivenComputation – Bücher, CDs, LPs und mehr, Seite 7

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…

lieferbar ab 4.5.2026.

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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…

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Bibliometric Analyses in Data-Driven Decision-Making

Bibliometric Analyses in Data-Driven Decision-Making is a comprehensive guide that will provide insights into the growth, impact, and trends within bibliometric tools and methodologies. The handbook will …

lieferbar in mind. 4 Wochen

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Digital Tools and Data for Innovative Healthcare

Digital Tools and Data for Innovative Healthcare: A Vision for Healthier and More Inclusive Societies is an invaluable resource for addressing the critical needs of healthcare professionals and researcher…

lieferbar in mind. 4 Wochen

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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…

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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,…

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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,…

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Environmental Policy Science's Exploration for Innovative Data

.- Chapter One, Introduction: Challenges and Opportunities for Mid-Century Social Scientists working on Environmental Policy..- Chapter Two: Tracking Variation in Activity in Unconventional Oil and Gas Su…

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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…

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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…

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Data-Centric Business and Applications

.- Innovative Potential in Ensuring Sustainable Development of the Enterprise.- RWA Tokenization Mechanisms as a Tool for Sustainable Economic Development of Local Hromadas in Ukraine.- Methodology for As…

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Collection and Analysis of Text Data in Sensory and Consumer Science

Understanding how consumers truly perceive products is at the heart of sensory and consumer science. While traditional surveys rely on limited, predefined response options, open-ended questions invite par…

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Business Intelligence, Computational Mathematics, and Data Analytics

.- Marketing Curriculum Evolution: Developing a Data-driven decision making mindset..- Facial Expression Tracking and Analysis in Video through Motion with SqueezeNet and SGD..- AI and Machine Learning: R…

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Big Data und KI bei der Polizei

Die Verarbeitung großer Datenmengen zum Zweck der Informationsgewinnung ist zentraler Bestandteil sicherheitsbehördlicher Tätigkeit im Rahmen der Gefahrenabwehr und der Strafverfolgung. In der Folge ist i…

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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…

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Applications of Artificial Intelligence and Data Science

.- Advanced Computing and Statistics.- Towards Reserve Margin Correction via Outage Capacity Forecasting Using Gramian Angular Field and Long Short-Term Memory (LSTM). .- Comparison of Hyperspectral Image…

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Data-Centric Business and Applications

.- Intelligent Compliance as a Fundamental Tool for Ukraine's Economic Security.- The Convergence of Artificial Intelligence with the Circular Economy.- Urban Planning Principles and Models of Reconstruct…

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Joachim Hunker
Method for Combining Data Farming and Data Mining in a Logistics Assistance System for Materials Trading Networks Based on Graph Databases

To maintain the competitiveness of a materials trading network, decision-makers are confronted with a multitude of logistics tasks. Finding answers to these tasks often involves a decision-making process,…

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Creativity in Intelligent Technologies and Data Science

This book constitutes the proceedings of the 6th International Conference on Creativity in Intellectual Technologies and Data Science, CIT&DS 2025, held in Volgograd, Russia, during September 22--25, …

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Rhythmische Vorteile in Big Data und Machine Learning

Das Buch behandelt verschiedene Aspekte der Biophysik, beginnend mit einem populären Artikel über Neurobiologie und erstreckt sich bis zur Quantenbiologie, um letztendlich das Bewusstsein sowohl von Mensc…

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