Open AccessData Mining preparation: Process, Techniques and Major Issues in Data Analysis
Author(s) -
Mustafa Abdalrassual Jassim,
Sarah N. Abdulwahid
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1090/1/012053
Subject(s) - raw data , computer science , process (computing) , data science , data extraction , profit (economics) , data mining , economics , programming language , operating system , medline , political science , microeconomics , law
Data preparation is an essential stage in data analysis. Many institutions or companies are interested in converting data into pure forms that can be used for scientific and profit purposes. It helps you set goals regarding system capabilities and features or the benefits your company expects from its investment. This purpose creates an immediate need to review and prepare the data to clean the raw data. In this paper, we highlight the importance of data preparation in data analysis and data extraction techniques, in addition to an integrated overview of relevant recent studies dealing with mining methodology, data types diversity, user interaction, and data mining. Finally, we suggest some potential suggestions for future research and development.