Applying Map-Reduce to Imbalanced Data Classification

被引：0
|
作者：
Jedrzejowicz, Joanna [1 ]
Neumann, Jakub [1 ]
Synowczyk, Piotr [1 ]
Zakrzewska, Magdalena [1 ]
机构：
[1] Univ Gdansk, Fac Math Phys & Informat, Inst Informat, PL-80308 Gdansk, Poland
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA) | 2017年
关键词：
imbalanced data; classification; parallelization;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of the paper was to apply MapReduce paradigm to the algorithm SplitBal which classifies imbalanced datasets and perform the evaluation of results for different parameters. Parallelization of time consuming operations allows to classify larger datasets, in perspective Big Data.
引用
收藏
页码：29 / 33
页数：5
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