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Chapter 1
Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms
Output of data mining techniques where valuable data are extracted from unstructured data.
Published in Chapter:
Introduction to Data Mining
Copyright: © 2022 |Pages: 13
DOI: 10.4018/978-1-7998-8350-0.ch001
Abstract
This chapter presents four widely used data mining algorithms and treats their four aspects: essence, applications, advantages, and disadvantages. The algorithms are neural networks, rule induction, tree algorithms, and neighborhood-based reasoning. This chapter is a basic introduction with an overview of important issues. It includes links to relevant algorithmic details related to the mathematical treatment of the selected four algorithms explained in Chapter 2, links to issues on fast and energy-efficient implementations using the dataflow technology of Maxeler, which is explained in Chapter 3, and links to the part on possible applications of selected algorithms treated in Chapter 4.
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