Unsupervised Outlier Detection – Bücher zum Thema Unsupervised Outlier Detection finden und kaufen

New Developments in Unsupervised Outlier Detection

Xiaochun Wang, Xiali Wang, Mitch Wilkes
Springer Singapore
181.89 € · Hardcover

Unsupervised Outlier Detection Distance-Based Outlier Detection Density-Based Outlier Detection k-Nearest Neighbors Based Outlier Detection Clustering Based Outlier Detection Boundary Point Detection Novel Object Detection

This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k-nearest neighbors’ setting. The respective chapters highlight the latest developments in k-nearest neighbor-based outlier detection research and cover such top...

New Developments in Unsupervised Outlier Detection

Xiaochun Wang, Xiali Wang, Mitch Wilkes
Springer Singapore
181.89 € · Paperback

Unsupervised Outlier Detection Distance-Based Outlier Detection Density-Based Outlier Detection k-Nearest Neighbors Based Outlier Detection Clustering Based Outlier Detection Boundary Point Detection Novel Object Detection

This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k-nearest neighbors’ setting. The respective chapters highlight the latest developments in k-nearest neighbor-based outlier detection research and cover such top...

New Developments in Unsupervised Outlier Detection

Xiaochun Wang, Xiali Wang, Mitch Wilkes
Springer Singapore
171.19 € · eBook

Unsupervised Outlier Detection Distance-Based Outlier Detection Density-Based Outlier Detection k-Nearest Neighbors Based Outlier Detection Clustering Based Outlier Detection Boundary Point Detection Novel Object Detection

This book enriches unsupervised outlier detection research by proposing several new distance-based and density-based outlier scores in a k-nearest neighbors’ setting. The respective chapters highlight the latest developments in k-nearest neighbor-based outlier detection research and cover such top...

Materials Data Science

Stefan Sandfeld
Springer International Publishing
96.29 € · Hardcover

Data mining data science data-driven machine learning deep learning supervised learning unsupervised learning regression classification cross validation feature engineering convolutional neural network RNN summary statistics explorative data analysis

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods and algorithms introduced  are implemented “from scratch” using Python and NumPy. The bo...

Advances in Machine Learning for Big Data Analysis

Springer Singapore
181.89 € · Hardcover

Machine Learning Big Data Analysis Data Mining Pattern Recognition Supervised Learning Classification Unsupervised Learning Clustering Semi-supervised Learning Prediction Change Detection Outlier Analysis Multi-objective Optimization

This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking s...

Outlier Explanation and Visualization for Supporting the Use of Outlier Detection in Internal Auditing

Jakob Nonnenmacher
Shaker
48.8 € · Paperback

Outlier Detection Unsupervised Learning Mixed-type Data Anomaly Detection Explainable Artificial Intelligence Outlier Explanation Explainability Internal Auditing

Internal auditing faces multiple challenges caused by the growing amounts of data stemming from ongoing digital transformation. New techniques are therefore being evaluated for their application in auditing such as outlier detection which is able to uncover irregularities without requiring domain kn...

Materials Data Science

Stefan Sandfeld
Springer International Publishing
69.54 € · Paperback

Data mining data science data-driven machine learning deep learning supervised learning unsupervised learning regression classification cross validation feature engineering convolutional neural network RNN summary statistics explorative data analysis

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods and algorithms introduced  are implemented “from scratch” using Python and NumPy. The bo...

Advances in Machine Learning for Big Data Analysis

Springer Singapore
181.89 € · Paperback

Machine Learning Big Data Analysis Data Mining Pattern Recognition Supervised Learning Classification Unsupervised Learning Clustering Semi-supervised Learning Prediction Change Detection Outlier Analysis Multi-objective Optimization

This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking s...

Materials Data Science

Stefan Sandfeld
Springer International Publishing
69.54 € · eBook

Data mining data science data-driven machine learning deep learning supervised learning unsupervised learning regression classification cross validation feature engineering convolutional neural network RNN summary statistics explorative data analysis

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods and algorithms introduced  are implemented “from scratch” using Python and NumPy. The bo...

Advances in Machine Learning for Big Data Analysis

Springer Singapore
171.19 € · eBook

Machine Learning Big Data Analysis Data Mining Pattern Recognition Supervised Learning Classification Unsupervised Learning Clustering Semi-supervised Learning Prediction Change Detection Outlier Analysis Multi-objective Optimization

This book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking s...

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