1. Computer field
In the computer field, it is often used for data mining and machine learning. Frequent pattern mining refers to finding patterns or rules with high frequency in a large number of data, which can be a combination of goods often sold in some stores or a sequence of web pages frequently visited by users. By discovering these frequent patterns, we can support recommendation systems, personalized advertisements and other applications.
2. The field of mathematics
In the field of mathematics, the concept that frequently appears is frequency. Frequency refers to the ratio of the number of times an event appears in the test to the total number of times of the test. When the number of experiments is enough, the frequency can gradually approach the true probability value. Frequency is also an important concept in statistics, including sample frequency, limit frequency and large number theorem.
3. The field of statistics
In the field of statistics, the concept of frequency often appears. Frequency refers to the number of times an event appears in a sample. Frequency and frequency are two different concepts, in which frequency refers to the proportion of an event in all experiments, while frequency is only the number of times that the event appears in a group of samples.
4. The field of economics
In the field of economics, the concept of frequency is high-frequency trading. High-frequency trading refers to the use of computer algorithms to buy and sell assets such as stocks or futures, and to complete the operation in a very short time. High-frequency trading has become an important trading mode in the securities market, which is of great significance to the information efficiency, liquidity and stability of the securities market.
5. Application in life
In daily life, the frequent concept is "frequent shopping". Shopping used to be a seasonal activity, but now due to the development of e-commerce, people can buy goods anytime and anywhere, so the frequency will be higher. Although frequent shopping brings convenience to consumers, the processing of massive data may increase the cost and pressure of enterprises, which is also a challenge that enterprises need to face in their development.
In short, no matter in which field, frequency means that an event appears more times in a certain range. For people's life and work, the more frequent things happen, the more people need to use computers and other tools to analyze and process data.