数据分类的数学规划:简要概述

Omar Souissi, Zineb El Akkaoui, Mohamed Assellaou
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引用次数: 0

摘要

数据分类问题已经被包括计算机科学家、统计学家、工程师、生物学家在内的几组研究人员深入研究。在数据库的广泛使用和其规模爆炸式增长的背景下,“大数据”,新的挑战被引入,以允许几个组织从中受益,并有效地利用他们的数据。本文的主要目的是回顾提出数学规划方法来解决支持向量机(SVM)数据分类问题的主要出版作品。
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Mathematical programming for data classification: A short survey
Data classification problems have been intensively studied by several groups of researchers including computer scientists, statisticians, engineers, biologists. Within the context of widespread use of databases and the explosive growth in their sizes, “Big Data”, new challenges are introduced in order to permit to several organizations to take benefits and efficiently utilize their data. The main objective of this paper is to review main published works which propose mathematical programming approaches in order to solve data classification problems with Support Vector Machine (SVM).
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