Different types of Data Mining Processes are given below:
Healthcare Data Mining
Healthcare Data mining services are used at an enormous scale in the healthcare sector and has given some fantastic results also. It enables health systems to systematically use data and analytics to find inefficiencies and best practices that boost patient care and lower costs
eCommerce Data Mining
Data mining in the e-commerce industry helps in Product Search, Product recommendation, Fraud detection, and Business Intelligence. The success of an e-commerce store is based on the experience it offers to its users, which now a day is linked to data understanding.
Financial Data Mining
These kinds of services offer many applications in the financial business. For example, it can help a company to reduce its costs, boost profits, or derive insights from user behavior.
Web Data Mining
A large chunk of time of data mining companies goes into data extraction using the web. Internet is home to millions of websites and billions of blogs, hence is an excellent source of data extraction for different types of businesses.
Data mining can transform a business, but implementing it the way it meets the needs of the company’s stakeholders frequently stands in the way of successful data mining investments. A wide variety of tools depending on their complexity are available for data mining such as R, Python, Azure ML Studio, SAS, and Excel. 31% of companies say they lack the skill sets needed to leverage these tools and hence, they have to outsource these services.