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Introduction to Computational Health Informatics

focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer;

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Introduction to Computational Health Informatics

focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer;

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Mathematical Foundations for Data Analysis

This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques;

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Mathematical Foundations for Data Analysis

This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques;

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Basic Computational Techniques for Data Analysis

use in data analysis. Basic Computational Techniques for Data Analysis illustrates the concepts used in economic and financial;

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Computationally Intensive Statistics for Intelligent IoT

of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design;

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Computational Genomics with R

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners;

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Computational Genomics with R

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners;

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Computational Methods for Next Generation Sequencing Data Analysis

in microbiome analysis. Computational Methods for Next Generation Sequencing Data Analysis: * Reviews computational techniques such as new combinatorial;

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Computational Intelligence and Pattern Analysis in Biology Informatics

of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for;

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Computational Data Analysis Techniques in Economics & Finance

practitioners in economics and finance. Computational data analysis techniques can contribute significantly within this context, by providing a rigorous;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis;

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Dental Image Analysis for Disease Diagnosis

of Interest extraction and analysis; and the role of computational clustering techniques for segmentation of teeth and dental caries. The book also;

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Computational Analysis of Communication

Provides clear guidance on leveraging computational techniques to answer social science questions In disciplines such as political;

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Geometric Spanner Networks

Spanner Network Problem to showcase a number of useful algorithmic techniques, data structure strategies, and geometric analysis techniques with;

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Computational Gasdynamics

Numerical methods are indispensable tools in the analysis of complex fluid flows. This book focuses on computational techniques for high;

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Computational Gasdynamics

Numerical methods are indispensable tools in the analysis of complex fluid flows. This book focuses on computational techniques for high;

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Statistical Bioinformatics

computational techniques. The author presents both basic andadvanced topics, focusing on those that are relevant to thecomputational analysis of large;

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Statistical Methods for Handling Incomplete Data

theory for missing data analysis Provides comprehensive coverage of computational techniques for missing data analysis;

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Computational Geo-Electromagnetics

techniques for building of geoelectrical models from electromagnetic data, featuring Bayesian statistical analysis and neural network algorithms;

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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

of nonlinear/unstructured data on experimental analysis. Presents a comprehensive handbook that covers an Introduction to Computational;

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Data Analysis and Applications 3

areas. The material is divided into two parts: Computational Data Analysis, and Classification Data Analysis, with methods for both - providing;

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Data Analysis and Visualization in Genomics and Proteomics

field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or;

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Statistical and Computational Methods in Brain Image Analysis

techniques. This challenge in brain image analysis requires new computational approaches and solutions. But none of the research papers or books;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications;

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SAS Essentials

, government, and organizations alike New chapters on reporting results in tables and factor analysis Additional information on the DATA step for;

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Computational Retinal Image Analysis

for RIA, technical foundations (image acquisition modalities, instruments), computational techniques for essential operations, lesion;

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