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Advances in Classification and Data Analysis

This volume contains a selection of papers presented at the biannual meeting of the Classification and Data Analysis Group of Societa;

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply;

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Data Science

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification;

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Data Analysis and Rationality in a Complex World

developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis;

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High-dimensional Data Analysis

-dimensional data analysis to explore key ideas for statistical inference and prediction.It is structured around topics on multiple hypothesis testing;

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Satellite Image Analysis Clustering and Classification

Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities;

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Model-Based Clustering and Classification for Data Science

Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many;

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Classification and Data Analysis

This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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Advanced Studies in Classification and Data Science

This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context;

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Advances In Remote Sensing And Gis Analysis

, geostatistical techniques, texture classification, fractals, per-parcel classification, raster and vector data integration, and process modelling. These;

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Advances in Knowledge Discovery and Data Mining

Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and;

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Advances in Knowledge Discovery and Data Mining

Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and;

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Advances in Brain Inspired Cognitive Systems

, tracking and classification; data analysis and natural language processing; and applications.;

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Clustering Methodology for Symbolic Data

, Billard and Diday (2006) Classification Methodology for Symbolic Datais aimed at the practitioners of symbolic data analysis: statisticians and;

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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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Data Analysis and Classification

of data analysis and classification tools in micro and macroeconomic problems. The papers were originally presented at the 29th Conference of the;

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Statistical Learning and Modeling in Data Analysis

contributions presented at the 12th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2019;

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Sparse representation of High Dimensional Data for Classification

In this book you will find the use of sparse Principal Component Analysis (PCA) for representing high dimensional data for classification;

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Analysis of Large and Complex Data

Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science;

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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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Advances in Big Data Analytics

for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis;

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Genetic Algorithms, Fuzzy Systems & Website Classification

; classification algorithms in handling noisy training data and meta data generation for automates web page classification.;

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Advances in Computational Algorithms and Data Analysis

Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data;

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Big Visual Data Analysis

This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene;

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Statistical Analysis of Gene Expression Microarray Data

Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists;

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