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Classification, (Big) Data Analysis and Statistical Learning

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data;

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Big Visual Data Analysis

numerous natural and synthetic color images, and extensive statistical analysis is provided to help readers visualize big visual data;

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Statistical Learning and Modeling in Data Analysis

The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series;

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Mathematical Problems in Data Science

of data science problems including machine learning methods, mathematical image and video processing, topological data analysis, and statistical;

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Statistical Regression and Classification: From Linear Models to Machine Learning

This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned;

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Data Mining and Big Data

organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data;

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Statistical Learning for Big Dependent Data

Big Dependent Data delivers a comprehensive presentation of the statistical and machine learning methods useful for analyzing and forecasting;

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Statistical Data Analytics

A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and big data;

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Practical Statistics for Data Scientists

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic;

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Classification and Data Analysis

Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18-20, 2019;

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Advances in Big Data Analytics

of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines;

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Machine Learning and Knowledge Discovery in Databases

learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data;

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Machine Learning and Knowledge Discovery in Databases

; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix;

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Machine Learning and Knowledge Discovery in Databases

; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix;

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Statistical Learning from a Regression Perspective

statistical learning; the impact of big data on statistical learning; the nature and consequences of post-model selection statistical inference;

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Big Data in Omics and Imaging, Two Volume Set

analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching;

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Open Source Software for Statistical Analysis of Big Data

software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging;

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Open Source Software for Statistical Analysis of Big Data

software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging;

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Statistical Regression and Classification

This text provides a modern introduction to regression and classification with an emphasis on big data and R. Each chapter is partitioned;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Data Analysis and Classification

Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2020, held in Sopot, Poland, September 7-9, 2020;

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Big Data Analysis: New Algorithms for a New Society

This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers;

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Big Data Analysis: New Algorithms for a New Society

This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers;

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Intelligent Data Engineering and Automated Learning - IDEAL 2016

; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological;

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Sequence Classification Using Support Vector Machines

statistical analysis of the data set and of the results. The results of the different methods will be compared and discussed in detail. The last;

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Data Classification

areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way;

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