Data mining is the process of discovering relationships and patterns in the data. It is mainly used in business, which helps them to take better business decisions. Various fields of industries are using Data mining these days. There are many changes done and need to be implemented in these fields, though huge numbers of commercial data mining systems are available today. Today we are going to learn about the trends and its applications.
Here is the list of the Data Mining Applications in diverse areas
Financial Data Analysis
The data that enables data mining and analysis of systematic data is of high quality and is reliable. Hence, it is used in the financial industry and for the financial data in banking.
Retail Industry
The estimation of buying trends and patterns of the customers enables good customer satisfaction, retention and improves the quality of customer service. In the retail industry, Data mining helps in identifying those trends and patterns.
Telecommunication Industry
Various services such as e-mail, cellular phone, pager, images, fax, web data transmission, Internet messenger, etc. are provided by one of the most rapidly growing industries called the telecommunication industry.
Biological Data Analysis
There is a rapid growth in the fields of biology such as biomedical research, proteomics, genomics, and functional Genomics in recent times. Thus in Bioinformatics, very important part is Biological data mining.
Other Scientific Applications
To handle relative sets of homogeneous and small data, all these above are used. The statistical techniques are appropriate for these applications. Scientific domains such as astronomy, geosciences, etc. provide a huge amount of data.
Intrusion Detection
There may be important data and details such as the Credit card details etc. present in our system. Hackers may try to get access to them through the intrusion. Any action that causes the threat to the availability, confidentiality, integrity, of network resources is known as an Intrusion. Security is the major issue to be taken care of in this world of connectivity. Intrusion detection has become the important and critical aspect of any business, due to the availability of tricks for hackers to intrude, attack the network and increased usage of internet.
Data Mining System Products
Many domain-specific applications of data mining and products of data mining system are available. To the existing system, new applications and products of data mining are being added. Also, to standardize the level of data mining languages, practices and efforts are being made.
Data mining trends
Data mining is evolving rapidly day by day. Here is the list of latest trends of data mining
- Visual data mining.
- Application Exploration.
- Query language of data mining is being standardized.
- Methods of data mining are Scalable and interactive.
- Biological data mining.
- Web database systems, data warehouse systems, and database systems are being integrated with data mining.
- Web mining.
- Introduction to new complex types of data mining.
- Data mining of multi-database.
- Software Engineering and Data mining.
- Real-time data mining.
- Data mining in a distributed way.
- Securing of information and protection to privacy in data mining.
