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What is Branch

Handbook of Research on Machine Learning Innovations and Trends
A part of the decision tree. It starts from the root of the tree and continues to browse the nodes down until you get to a leaf.
Published in Chapter:
Text Classification: New Fuzzy Decision Tree Model
Ben Elfadhl Mohamed Ahmed (Higher Institute of Management, Tunisia) and Ben Abdessalem Wahiba (Taif University, Saudi Arabia)
Copyright: © 2017 |Pages: 22
DOI: 10.4018/978-1-5225-2229-4.ch033
In this chapter, a supervised automatic text documents classification using the fuzzy decision trees technique is proposed. Whatever the algorithm used in the fuzzy decision trees, there must be a criterion for the choice of discriminating attribute at the nodes to partition. For fuzzy decision trees usually two heuristics were used to select the discriminating attribute at the node to partition. In the field of text documents classification there is a heuristic that has not yet been tested. This chapter tested this heuristic. The latter was presented in the works of Yuan and Shaw (1995) and was applied in a context different then the textual classification. This heuristic is analyzed and adapted to the author's approach for text documents classification.
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Fuzzy Decision Trees
Path down a decision tree from the root node to a leaf node.
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Creating and Analyzing Induced Decision Trees From Online Learning Data
A sequence of steps (through layers) leading to an outcome in a decision tree.
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Evolution of the Firm Structure in the Post-COVID-19 Era: A Roadmap for Turkish SMEs
A subsidiary or dislocated office of an already registered firm, other than the primary business station or headquarters.
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