Data Mining Applications

High growth of data in databases created a need for technologies which can extract and uncover the hidden information in large amount of data which can be useful in decision making in business organizations. Data mining is a technology that could solve this problem with approach combining machine learning, statistics and database management that are used for finding useful and valid patterns in data. The goal of this paper is to present a review of published data mining applications in business organizations across business functions. Papers from the journals indexed in Web of Science that investigate data mining applications in business organizations were examined in order to compare the research on data mining applications in terms of: (1) journal, (2) title of the paper, (3) data collection approach, (4) methodology used for investigation of data mining applications and (5) keywords. We investigated 25 papers divided into five categories: finance, human resources, transport, marketing and sales and services. We found research papers for each mentioned category. By random choice method we have selected several research papers for each category in order to compare data mining applications, methods and data used in business organizations.