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About Data Mining
This document reviews the scientific literature on data mining applications in logistics and supply chain management from 2000 to 2014. A bibliometric analysis identified 255 relevant papers that were clustered into three groups: theory development, market-oriented solutions, and theory application. Data mining techniques extract patterns from large datasets and can help with problems in logistics facility location, transportation, and warehousing as well as supply chain design, trends, and the bullwhip effect. The study aims to provide a framework for future research on using data mining in logistics and supply chains.
Detailed Information
| Author: | ['John Reuben Victor Oliver'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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