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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 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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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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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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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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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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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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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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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 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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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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Satellite Image Analysis Clustering and Classification

information. Highly accurate automatic classification and decision support systems can facilitate the efforts of data analysts, reduce human error;

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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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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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Exploratory Data Analysis in Empirical Research

ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining;

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DATA MINING and MACHINE LEARNING. CLASSIFICATION PREDICTIVE TECHNIQUES: SUPPORT VECTOR MACHINE, LOGISTIC REGRESSION, DISCRIMINANT ANALYSIS and DECISION TREES

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Classification

develop better and more efficient ways to summarize and extract information from these large, multivariate data sets. The field of classification;

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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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Classification

develop better and more efficient ways to summarize and extract information from these large, multivariate data sets. The field of classification;

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Sequence Classification Using Support Vector Machines

This book is about classification of nucleotide chains from yeast metabolic cycle data. First of all, the goals and the data set will be;

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Innovative Data Communication Technologies and Application

This book presents emerging concepts in data mining, big data analysis, communication, and networking technologies, and discusses the state;

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Computational Intelligence in Pattern Recognition

This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft;

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Data Mining The Web

This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification;

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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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Heterometallic Coordination Copper (Ii) Compounds

Heterometallic Coordination Copper (Ii) Compounds - Classification & Analysis of Crystallographic & Structural Data;

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