Baytar C. The Future of Data Mining 2022

Textbook in PDF format

The purpose of this book is to discuss data mining, which is a subset of Data Science, from a variety of perspectives. With the technological advances of recent years, new software and hardware-based systems are available in most business environments. With these systems, data production continues to increase in personal, corporate, commercial and many other areas. Information systems convert raw data, which alone are not so meaningful, into information after the processes are applied. Database systems are necessary for the storage and management of the information generated. Revealing meaningful relationships hidden in a stack of high-volume data shows the function of data mining. Processing Big Data has become important to produce information that will support business decisions and be a strategic tool in today's competitive environment. In this context, the effectiveness of data mining applications is increasing day by day as a decision support system to develop marketing strategies in every sector by identifying customer behavior and target groups.
Data Analytics Applied to the Human Resources Industry.
Toxicogenomics Data Mining as a Promising Prioritization Tool in Toxicity Testing
Applications of Data Mining Algorithms for Customer Recommendations in Retail Marketing
Analysis of Customer Churn in the Banking Industry Using Data Mining
The Crowdsourcing Concept-Based Data Mining Approach Applied
in Prosumer Microgrids Active Learning
Prediction of General Anxiety Disorder Using Machine Learning Techniques