Data Mining is a powerful tool capable of handling decision making and for forecasting future trends of market. Data Mining tools and techniques can be successfully applied in various fields in various forms. In this paper, we will explain various applications of Data Mining. We will also explain how Data Mining can integrate with other fields.Han, JiaweiAltman...
Data mining offers many applications in business. For example, the establishment of proper data (mining) processes can help a company to decrease its costs, increaserevenues, or derive insights from the behavior and practices of its customers. Certainly, it plays a vital role in the business dec...
In the meantime, information continues to grow and grow. Some estimates suggest that 90% of the world's data has been created in the last two years and the United Nations predicts it will grow by 40% a year. In this context, data mining presents itself as a relevant strategic practice ...
In this tutorial, we will learn about the introduction, advantages, disadvantages, and applications of data mining.
What is Clustering in Data Mining? Clustering is a fundamental concept in data mining, which aims to identify groups or clusters of similar objects within a given dataset. It is adata miningalgorithm used to explore and analyze large amounts of data by organizing them into meaningful groups, al...
In today's world, data mining has become an important part of anydata-driven organization. It can help them to make better decisions that lead to increased customer satisfaction, improved processes, mitigate risk, and deliver more revenue. ...
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software...
The basic aim of the modern management is to be more effective in the role of the school to train talents and serve the society. This article focuses on the application of data mining (DM) in the development of information management system (IMS) in universities and colleges. DM provides ...
Article views are only counted from this site. Although these data are updated every 24 hours, there may be a 48-hour delay before the most recent numbers are available.doi:10.1198/tech.2005.s343NoneTaylor & Francis GroupTechnometricsDiscovering Knowledge in Data, Next Generation of Data-Mining...
On-disk data processing: Issues and future directions (2017) Computing Research Repository (CoRR). arXiv:1709.02718 Google Scholar [3] McCue C. Future trends Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis (second ed.), Methods and Applications in Data Mining, Butterw...