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From Data to Models and Back

This book constitutes the refereed proceedings of the 9th International Symposium on From Data Models and Back, DataMod 2020, held;

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UML Database Modeling Workbook

With our appetites for data on the rise, it has become more important than ever to use UML (Unified Modeling Language) to capture and;

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Vast Machine

simulation; they warn us that we need to wait for real data, sound science. In A Vast Machine Paul Edwards has news for these skeptics: without;

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Core Data Services for ABAP

S/4HANA and developing analytical and transactional application models. From creating a CDS view to troubleshooting, this book is your end;

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Developing High Quality Data Models

models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to;

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Learning from Data for Aquatic and Geotechnical Environments

The book presents machine learning as an approach to building models that learn from data, and that can be used to complement the existing;

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Learning from Data for Aquatic and Geotechnical Environments

The book presents machine learning as an approach to building models that learn from data, and that can be used to complement the existing;

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Analysis Of Longitudinal Data

of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural;

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Flexible Regression and Smoothing

of explanatory variables. Key Features: Provides a broad overview of flexible regression and smoothing techniques to learn from data whilst also focusing;

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Flexible Regression and Smoothing

of explanatory variables. Key Features: Provides a broad overview of flexible regression and smoothing techniques to learn from data whilst also focusing;

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From Words to Numbers

analyze this type of data. Driven by the metaphors of the journal (from ... to) and the alchemy (words into numbers), the book leads the reader;

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Sharing Data and Models in Software Engineering

and models. Learn how to adapt data from other organizations to local problems, mine privatized data, prune spurious information, simplify;

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Bayesian Models for Categorical Data

, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to;

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Statistical, Mapping and Digital Approaches in Healthcare

Statistical, Mapping and Digital Approaches in Healthcare addresses all health territories, starting from the analysis of geographical data;

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Bringing Bayesian Models to Life

data analysis. We open the black box and show the reader how to connect modern statistical models to computer algorithms. These algorithms;

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Bringing Bayesian Models to Life

data analysis. We open the black box and show the reader how to connect modern statistical models to computer algorithms. These algorithms;

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Flowgraph Models For Multistate Time-To-Event Data

flowgraph models for time--to--event data. It clearly shows how this innovative new methodology can be used to analyze data from semi--Markov;

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Hands-On Big Data Modeling

of big data Apply your knowledge to datasets from Twitter and weather data to learn big data Tackle different data modeling challenges with;

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Analysis Of Longitudinal Data 2nd

of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural;

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Learning and Decision-Making from Rank Data

and behavior data from humans, learn from the data, and then use the data to help humans make efficient, effective, and timely decisions;

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Learning and Decision-Making from Rank Data

and behavior data from humans, learn from the data, and then use the data to help humans make efficient, effective, and timely decisions;

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Learning and Decision-Making from Rank Data

and behavior data from humans, learn from the data, and then use the data to help humans make efficient, effective, and timely decisions;

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Models for Ecological Data

from classical to Bayesian methods. Through an available lab manual, the book introduces readers to the practical work of data modeling and;

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Handbook of Latent Variable and Related Models

This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships;

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Data Analysis With Open Source Tools

* Develop conceptual models using back-of-the-envelope calculations, as well as scaling and probability arguments * Mine data with computationally;

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Artificial Intelligence for Automated Pricing Based on Product Descriptions

automated pricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on machine learning;

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Structural Analysis in the Social Sciences

analyze this type of data. Driven by the metaphors of the journal (from ... to) and the alchemy (words into numbers), the book leads the reader;

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