Abstract: As the key to big data, extracting the potential and core value from a large volume of data is very important. In this study, we propose a discrete data processing algorithm, known as the ...

For example, in marketing, numbers can show sales patterns, but listening to customer opinions and reasons can tell you what they feel and why they buy, according to Tasker. Using both types of ...

Those are all examples of internal data, but external data can be captured or analyzed in real-time, too. Delivery and logistics operations can tap into traffic or weather data streams to assist ...

Nevertheless, most of the traditional discretization algorithms don't consider the distribution of sample and difficulty in setting parameters during interval partitioning, which leads to a decrease ...