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of appearance data that needs to be acquired. This book presents a general framework based on the inherent coherency in the appearance data;
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. In order for computers to create these accurately detailed images, digital models of appearance must include robust data to give viewers a credible;
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For undergraduate and graduate level courses that combines introductory statistics with data analysis or decision modeling. A pragmatic;
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-based approach of this book gives students the required statistical foundations of estimation and inference, and leads to a thorough;
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Data Modeling for Agile Data Warehouse using Data Vault Modeling Approach. Includes Enterprise Data Warehouse Architecture. This is a;
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modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard®. You will;
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This text offers a modern view of process control in the context of today's technology. The book provides the standard material in a more;
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The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data;
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This book provides a new perspective on modeling cyber-physical systems (CPS), using a data-driven approach. The authors cover the use;
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This book provides a new perspective on modeling cyber-physical systems (CPS), using a data-driven approach. The authors cover the use;
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Improving our understanding of friction, lubrication, and fatigue, Modeling and Analytical Methods in Tribology presents a fresh approach;
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makes up a relational data model. This is followed by a comparison between standard normalization and a more simplistic intuitive approach to;
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* A cutting-edge response to Ralph Kimball's challenge to the data warehouse community that answers some tough questions about the;
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. The text takes a detailed look at the Unified Modeling Language (UML-2) as well as the entity-relationship (ER) approach for data requirements;
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cognitive data. The core theme of the 2004 conference was Integrating Computational Models, encompassing an integration of diverse data through;
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modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard®. You will;
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modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard®. You will;
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This book introduces Logical Data Structures (LDS), a powerful new approach to database design that can dramatically improve the cost;
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requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard®. You will know not just;
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, and learn the basics of adding, querying, updating, and deleting data in MongoDB.4. Practice a streamlined, template-driven approach to;
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Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources;
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Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources;
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Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques;
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on a property graph approach to modeling data.From the authors introduction: This book proposes a new approach to data modelingone that turns;
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Data Modeling and Database Design presents a conceptually complete coverage of indispensable topics that each MIS student should learn if;
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basis for modeling, and geospatial data forms the cornerstone of parameter and process representation. A physics-based approach involves;
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production system through merging dynamics, signal processing, instrumentation, and control into a coherent problem-solving package.The material;
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