Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software (Information Fusion and Data Science)

Data Analytics for Drilling Engineering:

📁 Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software

✍ Qilong Xue 📂 Library 📅 2020 🏛 Springer International Publishing 🌐 English

<p>This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as downhole information transmissio

Data Analytics: Models and Algorithms fo

📁 Data Analytics: Models and Algorithms for Intelligent Data Analysis

✍ Thomas A. Runkler (auth.) 📂 Library 📅 2012 🏛 Vieweg+Teubner Verlag 🌐 English

<p>This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. It provides a sound mathematical basis, discusses advantages and draw

Data Analytics: Models and Algorithms fo

📁 Data Analytics: Models and Algorithms for Intelligent Data Analysis

✍ Thomas A. Runkler 📂 Library 📅 2016 🏛 Springer Vieweg 🌐 English

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. T

Data Analytics: Models and Algorithms fo

📁 Data Analytics: Models and Algorithms for Intelligent Data Analysis

✍ Thomas A. Runkler 📂 Library 📅 2020 🏛 Vieweg + Teubner Verlag 🌐 English

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. T

Data Analytics: Models and Algorithms fo

📁 Data Analytics: Models and Algorithms for Intelligent Data Analysis

✍ Thomas A. Runkler (auth.) 📂 Library 📅 2016 🏛 Springer Vieweg 🌐 English

<p>This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications

Data Analytics Models and Algorithms fo

📁 Data Analytics Models and Algorithms for Intelligent Data Analysis

✍ Thomas A. Runkler 📂 Library 📅 2012 🏛 Vieweg+Teubner Verlag 🌐 English

The book provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in numerous courses at the Technical Universi