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Statistical Methods with Applications in Data Mining: A Review of the Most Recent Works

Joaquim Fernando Pinto da Costa, Manuel Cabral

2022Englishstatisticsdata miningmachine learningstatistical learningdeep learningsignificance testing

Abstract

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The importance of statistical methods in finding patterns and trends in otherwise unstructured and complex large sets of data has grown over the past decade, as the amount of data produced keeps growing exponentially and knowledge obtained from understanding data allows to make quick and informed decisions that save time and provide a competitive advantage. For this reason, we have seen considerable advances over the past few years in statistical methods in data mining. This paper is a comprehensive and systematic review of these recent developments in the area of data mining.

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Cite This Work

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  title={Statistical Methods with Applications in Data Mining: A Review of the Most Recent Works},
  author={Joaquim Fernando Pinto da Costa and Manuel Cabral},
  year={2022},
  language={English}
}
TY  - JOUR
TI  - Statistical Methods with Applications in Data Mining: A Review of the Most Recent Works
AU  - Joaquim Fernando Pinto da Costa
AU  - Manuel Cabral
PY  - 2022
LA  - English
ER  -

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