Research on application of artificial intelligence in data mining

Data mining is a relatively new and fast-growing field. Machine learning, statistics, database research, high-performance computing, and commerce are among the areas that provide ideas and resources. This explains why data mining is such a dynamic, diverse, and fast evolving discipline. In huge and expanding data sets, data mining techniques are employed to identify patterns, structure, regularities, and singularities. In other words, Data Mining is the process of analysing hidden patterns of data from various perspectives for categorization into useful data, which is collected and assembled in specific areas such as data warehouses, efficient analysis, data mining algorithms, assisting decision making, and other data requirements, ultimately resulting in cost-cutting and revenue generation. Data mining is the process of automatically examining enormous amounts of data for patterns and trends that go beyond simple analysis[2].Data mining estimates the probability of future events by utilising advanced mathematical algorithms for data segments. Data mining is also known as data knowledge discovery (KDD). By outsourcing data mining, all of the work may be completed more quickly and at a lower cost. Specialized businesses can also take advantage of new technology to acquire data that would otherwise be impossible to locate manually. Although there is a wealth of material available on multiple platforms, there is a scarcity of expertise.

Artificial intelligence (AI) is a field of science concerned with the development of intelligent machines. These machines are referred to as intelligent because they possess human-like reasoning and decision-making abilities. Artificial intelligence is the study of developing intelligent machines that can perform tasks similar to humans. It does not rely on learning or feedback; instead, it contains control systems that are explicitly designed. By calculating, AI systems come up with solutions to issues on their own. AI systems use the data mining technique to create solutions from mined data. Artificial intelligence is built on the foundation of data mining. Data mining is a subset of programming codes that contain the information and data that AI systems require. Machine Learning is a key part of Artificial Intelligence[1]. This means that AI's intelligent behaviour is based on machine learning algorithms. A computer is considered to learn from a task if the error lowers over time and the performance is as expected.