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Hierarchical Feature Selection for Knowledge Discovery

by using the state-of-the-art hierarchical feature selection algorithms. The novelties of this book are three-fold. To begin with, this book;

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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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Feature Selection in Data Mining - Approaches Based on Information Theory

set of features will almost certainly overfit on future data sets. The book presents streamwise feature selection which interleaves the;

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Discovery Science

learning: online learning, regression, label classification, deep learning, feature selection, recommendation system; and knowledge discovery;

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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;

Vergelijkbare producten zoals Spectral Feature Selection for Data Mining

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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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

in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected;

Vergelijkbare producten zoals Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining

in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected;

Vergelijkbare producten zoals Advances in Knowledge Discovery and Data Mining

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;

Vergelijkbare producten zoals Advances in Knowledge Discovery and Data Mining

Hybrid Methods in Feature Selection

selection is essential for the machine learning algorithms while handling high dimensional datasets. Many traditional search methods have shown;

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Machine Learning and Knowledge Discovery in Databases

Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101 regular papers presented;

Vergelijkbare producten zoals Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases

Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101 regular papers presented;

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Machine Learning and Knowledge Discovery in Databases

Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101 regular papers presented in part I;

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New Frontiers in Mining Complex Patterns

, in September 2016. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Knowledge Discovery, Knowledge Engineering and Knowledge Management

Discovery, Knowledge Engineering, and Knowledge Management, IC3K 2010, held in Valencia, Spain, in October 2010. This book includes revised and;

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Knowledge Discovery in Multiple Databases

-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe culiarity discovery. While these;

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Discovery Science

This book constitutes the proceedings of the 22nd International Conference on Discovery Science, DS 2019, held in Split, Coratia;

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Knowledge Discovery in the Social Sciences

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and;

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Knowledge Discovery in the Social Sciences

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and;

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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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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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Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Par

Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019.The total of 130 regular papers presented in these;

Vergelijkbare producten zoals Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Par

Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Par

Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019.The total of 130 regular papers presented in these;

Vergelijkbare producten zoals Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Par

Advances in Knowledge Discovery and Data Mining

Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19;

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