Description
This book is about data analytics, including problem definition, data preparation, and data analysis. A variety of techniques (e.g., regression, logistic regression, cluster analysis, neural nets, decision trees, and others) are covered with conceptual background as well as demonstrations of KNIME using each tool.
The book uses KNIME, which is a comprehensive, open-source software tool for analytics that does not require coding but instead uses an intuitive drag-and-drop workflow to create a network of connected nodes on an interactive canvas. KNIME workflows provide graphic representations of each step taken in analyses, making the analyses self-documenting. The graphical documentation makes it easy to reproduce analyses, as well as to communicate methods and results to others. Integration with R is also available in KNIME, and several examples using R nodes in a KNIME workflow are demonstrated for special functions and tools not explicitly included in KNIME.
Author: Frank Acito
Publisher: Springer
Published: 11/30/2023
Pages: 314
Binding Type: Hardcover
Weight: 1.41lbs
Size: 9.21h x 6.14w x 0.75d
ISBN13: 9783031456299
ISBN10: 3031456297
BISAC Categories:
- Business & Economics | Statistics
- Computers | Data Science | Data Analytics
- Computers | Mathematical & Statistical Software