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Data Modeling Fundamentals

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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Mechatronic Systems, Sensors, and Actuators: Fundamentals and Modeling

, and software and data acquisition. It describes mathematical models of the mechanical, electrical, and fluid subsystems that comprise many;

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Wastewater Treatment Process Modeling

to interpret data. Presents an overview of existing models Discusses various modeling tools, including common simulators Reviews the math;

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Practical Guide to Advanced DSOs in SAP

This book delves into the fundamentals of SAP BW based on SAP HANA Advanced Data Store Objects (aDSOs). Explore the various aDSO types and;

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Database Modeling and Design

stand-alone data management course focused on logical database design, or a supplement to an introductory text for introductory database;

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Data Modeling Essentials 3rd

Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques;

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Introduction to Brain Topography

sciences, mathematics, neurophysiology, and anatomy. Topics include fundamentals of data acquisition, mapping, and post-processing; source modeling;

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Pricing Analytics

from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get;

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Pricing Analytics

from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to;

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Object-Role Modeling Workbook

Object-Role Modeling (ORM) is a fact-based approach to data modeling that expresses the information requirements of any business domain;

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Fundamentals of Chaos and Fractals for Cardiology

analyze physiological data, and researchers interested in physiological modeling.;

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Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications

simulations; image recognition, reconstruction and predictive modeling; image-based modeling and simulations; and computer vision and data-driven;

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Advanced Approaches in Turbulence

Advanced Approaches in Turbulence: Theory, Modeling, Simulation and Data Analysis for Turbulent Flows focuses on the updated theory;

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Modeling Count Data

This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for;

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Modeling Count Data

This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for;

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Constitutive Modeling of Geomaterials

. It not only covers recent methods and models but also uses real test data to prove their reliability.;

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Constitutive Modeling of Geomaterials

. It not only covers recent methods and models but also uses real test data to prove their reliability.;

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Applied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciencesprovides a practical guide to many;

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Modeling the Agile Data Warehouse with Data Vault

Data Modeling for Agile Data Warehouse using Data Vault Modeling Approach. Includes Enterprise Data Warehouse Architecture. This is a;

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Fundamentals Of Applied Econometrics

data to illuminate economic theory and the student who wants and needs a solid intellectual foundation on which to build practical experiential;

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Communication, Signal Processing & Information Technology

technology it covers content based video retrieval, B4G wierless communication systems and their application, data fusion and pattern recognition. It;

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Predictive Data Mining Models

data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports;

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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for;

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Object-Role Modeling Fundamentals

Object-Role Modeling (ORM) is a fact-based approach to data modeling that expresses the information requirements of any business domain;

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Statistical Methods for Materials Science

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for;

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Data Modeling Made Simple

Data Modeling Made Simple with CA ERwin Data Modeler r8 will provide the business or IT professional with a practical working knowledge;

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Modeling and Simulation for Analyzing Global Events

qualitative analysis. With an emphasis on gathering and mapping empirical data, the authors detail the steps needed for accurately analyzing global;

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