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Feature Engineering for Machine Learning and Data Analytics

introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis;

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Feature Engineering for Machine Learning and Data Analytics

introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis;

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Spectral Feature Selection for Data Mining

existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a;

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Spectral Feature Selection for Data Mining

existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a;

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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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Python Feature Engineering Cookbook

Key Features Discover solutions for feature generation, feature extraction, and feature selection Uncover the end-to-end feature engineering;

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Artificial Intelligence and Data Mining in Healthcare

compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science;

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The Art of Feature Engineering

worked out case studies. Key topics include binning, out-of-fold estimation, feature selection, dimensionality reduction, and encoding variable;

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Hybrid Methods in Feature Selection

In recent years, data have become increasingly larger in both number of instances and number of features in many applications. This;

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Neural Engineering Techniques for Autism Spectrum Disorder

, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals are presented for detection and estimation of the degree of ASD;

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Grammar Based Feature Generation for Time Series Prediction

context-free grammar. A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using;

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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science

In today's digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data;

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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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Artificial Intelligence with Python

the cloud, recurrent neural networks, deep learning models, and feature selection and engineering Learn more about deep learning algorithms;

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Feature Selection for High-Dimensional Data

This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the;

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Combining Pattern Classifiers

selection, now in its second edition The art and science of combining pattern classifiers has flourished into a prolific discipline since the first;

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Hierarchical Feature Selection for Knowledge Discovery

state-of-the-art hierarchical feature selection algorithms are discussed and evaluated by working with four types of interpretable;

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Software Engineering Frameworks for the Cloud Computing Paradigm

selection of researchers and practitioners. The book offers both a discussion of relevant software engineering approaches and practical guidance on;

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Feature Engineering and Selection

critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for;

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Feature Engineering and Selection

critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for;

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Engineered Materials Hdbk

Engineering Plastics is designed and written for working engineers. The volume provides comprehensive coverage of the properties, selection;

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Engineered Materials Handbook

Engineering Plastics is designed and written for working engineers. The volume provides comprehensive coverage of the properties, selection;

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Intrusion Detection using Feature Selection and Hybridized

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The Feature-Driven Method for Structural Optimization

, integrating structural optimization and feature-based design. The book presents cutting-edge research on advanced structures and introduces the;

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Feature Engineering and Computational Intelligence in ECG Monitoring

This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these;

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Materials

The ultimate materials engineering resource for anyone developing skills and understanding of materials properties and selection for;

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Advances in Harmony Search, Soft Computing and Applications

detection, urban drainage systems, water management models, feature selection and inventory systems, it is a valuable resource for researchers;

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