Data Mining Operationalizing Process, Applications and Tools

Rezaei, Morteza

doi:10.22034/apj.2023.708839

Data Mining Operationalizing Process, Applications and Tools

Document Type : Original Research Article

Author

Morteza Rezaei

Department of Computer Science, Shahid Beheshti University, Tehran, Iran

10.22034/apj.2023.708839

Abstract

In today's competitive world, information has emerged as one of the important production factors. As a result, the effort to extract information from data has attracted the attention of many people involved in the information industry and related fields. The large volume of data is constantly growing in all fields and the vast difference in data production process has increased the complexity of information management and extraction. Recently, several strategies and techniques have been used to collect, store, organize and efficiently manage existing data and achieve meaningful results, and data mining is one of the recent developments in the direction of data management technologies. The term data mining refers to the semi-automatic process of analyzing large databases and data warehouses in order to find useful and applicabale patterns. In this research, we are going to examine the operationalization process of data mining and do a practical analysis of this issue. In addition, we will research about the important applications and tools of this field.

Keywords

Data Analysis

Data Management

Analysis

Data Repository

Pattern Recognition

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