What are some of the interesting applications of data mining?

Top 14 useful applications for data mining

• Future Healthcare. Data mining holds great potential to improve health systems.
• Market Basket Analysis.
• Manufacturing Engineering.
• CRM.
• Fraud Detection.
• Intrusion Detection.
• Customer Segmentation.
• Financial Banking.

What is the most frequently used data mining method?

Prediction. Prediction is one of the most valuable data mining techniques, since it’s used to project the types of data you’ll see in the future.

What are some interesting statistics?

50 Totally Crazy Statistics You Won’t Believe Are Real

• The average drunk driver drives under the influence more than 80 times before being arrested the first time.
• Fewer than 2 percent of NCAA student-athletes go on to the professional level.
• One-third of adults still sleep with a comfort object.

What is data mining for marketers What are some of the most important applications?

Marketing. Data mining is used to explore increasingly large databases and to improve market segmentation. By analysing the relationships between parameters such as customer age, gender, tastes, etc., it is possible to guess their behaviour in order to direct personalised loyalty campaigns.

Which kind of applications are targeted in data mining?

Data Mining can be applied to any type of data e.g. Data Warehouses, Transactional Databases, Relational Databases, Multimedia Databases, Spatial Databases, Time-series Databases, World Wide Web. Data mining provides competitive advantages in the knowledge economy.

Are all patterns interesting in data mining?

In contrast to the traditional task of modeling data—where the goal is to describe all of the data with one model—patterns describe only part of the data [27]. Of course, many parts of the data, and hence many patterns, are not interesting at all. The goal of pattern mining is to discover only those that are.