DATA MINING-APPLICATIONS

Data mining can also be referred as the knowledge of discovery in databases. The process of discovering the interesting and useful patterns and relationships in a large volume of data. The field combines tools from statistics and artificial intelligence (For example neural networks and machine learning) with database management we can analyze large digital collections, known as datasets. 

Data mining is widely used in business for many purposes such as insurance, banking, retail etc. It is also used in scientific researchers such as astronomy, medicine.

Data mining is a process that analyzes a large amount of data to find out the new and hidden information that improves business efficiency. Many industries are adopting data mining to their mission-critical business processes to gain advantages and help their business to grow. Data mining is a process that analyzes a large amount of data to find out the new and hidden information that improves business efficiency. Many industries are adopting data mining to their mission-critical business processes to gain advantages and help their business to grow.

Some of the successful application areas of Data Mining include:

Data Mining in E-Commerce:

The most common application of Data Mining is from E-commerce. Many of the E-commerce companies use Data Mining and Artificial Intelligence to offer the cross-sells and up-sells through their websites.

Data Mining in Bio-Informatics:

Data Mining is most probably used in Bioinformatics since it is data-rich. In this, the data helps to extract the useful information from a massive dataset that is gathered in biology, and in other related life sciences areas such as medicine and neuroscience. Some of the major applications of data mining also include gene finding, protein function inference, disease diagnosis, prognosis, treatment optimization, protein, data cleansing, and protein subcellular location prediction.

Data Mining in Health Care:

Data mining plays an important role to improve health systems. It uses the data and the analytics to identify the most commonly used practices that improve the care the reduces the cost. Most of the researchers use data mining approaches like multi-dimensional databases, the machine learning, soft computing, the data visualization and the statistics.

Telecommunication Industry:

In today’s aspect, the telecommunication industry is being one of the most emerging industries which are providing many major services such as fax, pager, internet messenger, images, e-mail, web data transmission, etc. Due to the development of new computer and communication technologies, the telecommunication industry is being rapidly expanding.