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What is Decision Tree Induction

Chapter 18
Handbook of Research on Strategic Supply Chain Management in the Retail Industry
Decision tree learning utilizes a decision tree as a predictive model and is one of the predictive modeling approaches used in data mining, statistics, and machine learning. The decision tree maps observations about an item to inferences about the item's target value.
Published in Chapter:
Intelligent Slotting for the Warehouse
Narayanan Padmanabahan Iyer (JDA, India) and Ramesh Jayal (iTab Technologies, India)
Copyright: © 2016 |Pages: 17
DOI: 10.4018/978-1-4666-9894-9.ch018
Abstract
In the current and future Supply Chain landscape, we need to ensure that we keep the warehouse ship sailing amidst the turbulent waters of dynamic business growth and rapid changes in technology. There are several challenges to be overcome, and many opportunities to be embraced on the path to achieving this. In this chapter, the authors detail one of the key problems facing the warehouse and that is Slotting. They look at the various business drivers, and technological drivers impacting Slotting. They propose a solution to tackle this problem by using Market Basket Analysis and Machine Learning.
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