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About Mathematical Programming For Data Mining: Formulations and Challenges
This document provides an overview of mathematical programming approaches to data mining problems. It discusses how data mining aims to explore large databases to discover useful patterns and models, in contrast to traditional querying. The document outlines key data mining problems like classification, clustering, and prediction and describes how they can be formulated as optimization problems. It also provides examples of successful applications of mathematical programming to solve data mining problems.
Detailed Information
| Author: | ['abolatahia257'] |
|---|---|
| Publication Year: | 2016 |
| Pages: | 35 |
| Language: | English |
| Format: | |
| Price: | FREE |
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