Data Mining preparation: Process, Techniques and Major Issues in Data Analysis

Mustafa Abdalrassual Jassim · Sarah Najm Abdulwahid

35 citations0/0 files storedIOP Conference Series Materials Science and Engineering

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Data Quality and Management Data Mining and Machine Learning Applications Information Retrieval and Data Mining

Abstract

Abstract 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.

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2020Predictive analytics using big data for increased customer loyalty: Syriatel Telecom Company case study

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