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Feature Selection in Data Mining - Approaches Based on Information Theory

framework based on information theory, and compares these methods with streamwise feature selection on various real and synthetic data sets. This;

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Feature Engineering for Machine Learning and Data Analytics

data types. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation;

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Feature Engineering for Machine Learning and Data Analytics

. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation based feature;

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Foundations of Computational Intelligence Volume 5

branches of applied mathematics, computer science and data mining in particular. This edited volume comprises of 14 chapters, including several;

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A Hybrid Feature Selection Model For Genome Wide Association Studies

dimensional data and to be able to find the nonlinear relations, data mining approaches are needed. In this work, a hybrid feature selection model;

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Artificial Intelligence and Data Mining in Healthcare

This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific;

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Feature Selection for High-Dimensional Data

foundations, real application problems and the challenges of feature selection for high-dimensional data. The authors first focus on the analysis;

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Spectral Feature Selection for Data Mining

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying;

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Spectral Feature Selection for Data Mining

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying;

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Computational Methods of Feature Selection

Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields;

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Extracting Knowledge From Opinion Mining

Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage;

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Hierarchical Feature Selection for Knowledge Discovery

This book is the first work that systematically describes the procedure of data mining and knowledge discovery on Bioinformatics databases;

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Data Mining in Biomedical Imaging, Signaling, and Systems

Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to;

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Data Mining in Biomedical Imaging, Signaling, and Systems

Data mining can help pinpoint hidden information in medical data and accurately differentiate pathological from normal data. It can help to;

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Data Mining

approaches, examining a specific technique based on logic programming, and citing literature and vendors for up-to-date information Part III;

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Data Mining

approaches, examining a specific technique based on logic programming, and citing literature and vendors for up-to-date information Part III;

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Advances in Knowledge Discovery and Data Mining

; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms;

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Advances in Knowledge Discovery and Data Mining

; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms;

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Advances in Knowledge Discovery and Data Mining

uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional, and;

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Advances in Knowledge Discovery and Data Mining

uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional and;

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Data Mining for Bioinformatics

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a;

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Data Mining for Bioinformatics

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a;

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Transactions on Rough Sets XIII

foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Nature-Inspired Computation in Data Mining and Machine Learning

This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data;

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Nature-Inspired Computation in Data Mining and Machine Learning

This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data;

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