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Digital Methods for Complex Datasets

explores the role of digital methods in the future of digital humanities research. The essays are united by the theme of complexity - but manifest;

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Computational Non-coding RNA Biology

Computational Non-coding RNA Biology is a resource for the computation of non-coding RNAs. The book covers computational methods for;

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Clustering Methodology for Symbolic Data

Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical;

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Digital Signal Processing with Kernel Methods

algorithms to present other highly relevant kernel methods for digital signal processing An excellent book for signal processing researchers and;

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Symbolic Data Analysis and the SODAS Software

Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical;

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Thick Big Data

operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or;

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Thick Big Data

operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or;

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Anonymizing Health Data

With this practical book, you will learn proven methods for anonymizing health data to help your organization share meaningful datasets;

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Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and;

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Rethinking Research Methods in an Age of Digital Journalism

The digital infrastructure of media production, dissemination and consumption is becoming increasingly complex, presenting the challenge;

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Rethinking Research Methods in an Age of Digital Journalism

The digital infrastructure of media production, dissemination and consumption is becoming increasingly complex, presenting the challenge;

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New Classification Method Based on Modular Neural Networks with the LVQ Algorith

In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector;

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Introduction to Environmental Data Analysis and Modeling

This book introduces numerical methods for processing datasets which may be of any form, illustrating adequately computational resolution;

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Introduction to Environmental Data Analysis and Modeling

This book introduces numerical methods for processing datasets which may be of any form, illustrating adequately computational resolution;

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Biosignal Processing

With the rise of advanced computerized data collection systems, monitoring devices, and instrumentation technologies, large and complex;

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Secondary Data in Mixed Methods Research

text offers step-by-step procedures for incorporating existing data into mixed methods research designs, as well as identifying characteristics;

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Practical Synthetic Data Generation

of original data An approach for modeling data structure to consider complex relationships Multiple approaches and metrics you can use to assess;

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Message and Medium

Studies of digital communication technologies often focus on the apparently unique set of multimodal resources afforded to users and the;

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Message and Medium

Studies of digital communication technologies often focus on the apparently unique set of multimodal resources afforded to users and the;

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Hybrid Methods in Feature Selection

selection is essential for the machine learning algorithms while handling high dimensional datasets. Many traditional search methods have shown;

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Modeling and Simulation of Complex Power Systems

. Modeling and Simulation of Complex Power Systems is an invaluable tool for researchers in industry and academia, and advanced students.;

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Multiple Imputation of Missing Data in Practice

. Real data from studies with different designs and features (e.g., cross-sectional data, longitudinal data, complex surveys, survival data;

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Signal Processing in Radar Systems

principles for designing the robust digital signal processing algorithms employed by complex radar systems.;

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Signal Processing in Radar Systems

principles for designing the robust digital signal processing algorithms employed by complex radar systems.;

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Understanding Complex Datasets

Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix;

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Population Ecology in Practice

book covers new tools for designing robust field studies; estimation of abundance and demographic rates; matrix population models and analyses;

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Fundamentals of Causal Inference

concepts and methods Accessible to undergraduates Suitable for a heterogeneous audience;

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