From bibliometrics to text mining: exploring feature selection methods in microarray research

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Communications in Statistics-Simulation and Computation Pub Date : 2024-03-31 DOI:10.1080/03610918.2024.2331083

Guilherme Alberto Sousa Ribeiro, Rommel Melgaço Barbosa, Márcio da Cunha Reis, Nattane Luiza Costa

引用次数: 0

Abstract

Text mining (TM) is a technique that aims to extract knowledge from unstructured data sources by transforming them into structured data. TM algorithms can be used to detect hidden patterns in large...

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从文献计量学到文本挖掘：探索微阵列研究中的特征选择方法

文本挖掘（TM）是一种技术，旨在通过将非结构化数据转换为结构化数据，从非结构化数据源中提取知识。文本挖掘算法可用于检测大量数据中隐藏的模式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Communications in Statistics-Simulation and Computation 数学-统计学与概率论

CiteScore

2.50

自引率

11.10%

发文量

240

审稿时长

6 months

期刊介绍： The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.