Data Mining of NBA
Abstract
With the development of scientific and technology, data mining is more and more popular. Data mining is the process
of finding hidden information in the material such as trend, pattern and relationship. It is gradually applied in various kinds of
fields. More and more sports event such as NBA use this technology to predict team’s performance. Data mining has been applied
in NBA for many years. And it has brought many benefits to NBA. This project will introduce data mining’s application in NBA.
The project is divided into five parts: introduction, literature search and selection, recommendation of suitable algorithms for the
data mining tasks, sample analysis of data input, data preprocessing, data output, application.
of finding hidden information in the material such as trend, pattern and relationship. It is gradually applied in various kinds of
fields. More and more sports event such as NBA use this technology to predict team’s performance. Data mining has been applied
in NBA for many years. And it has brought many benefits to NBA. This project will introduce data mining’s application in NBA.
The project is divided into five parts: introduction, literature search and selection, recommendation of suitable algorithms for the
data mining tasks, sample analysis of data input, data preprocessing, data output, application.
Keywords
NBA; Classification; Data mining
Full Text:
PDFReferences
[1]”[NBA China Official Website | League Player Data Rankings]”,https://m.china.nba.com/statistics/
DOI: https://doi.org/10.18282/l-e.v10i1.2199
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