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Predictive analytics with KNIME : analytics for citizen data scientists / Frank Acito.

9783031456305 (electronic bk.)
3031456300 (electronic bk.)
9783031456299
3031456297

Cham : Springer, [2023]

©2023

English

1 online resource (xiii, 314 pages) : illustrations (chiefly color)

10.1007/978-3-031-45630-5 doi

QA76.9.Q36

001.4/2

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.

Includes bibliographical references and index.

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Online resource; title from PDF title page (SpringerLink, viewed December 12, 2023).

Print version: 9783031456299

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