Tax risk behavior causes serious loss of fiscal revenue, damages the country's public
infrastructure, and disturbs the market economic order of fair competition. In recent years, tax …

At present, association rules have been widely used in prediction, personalized
recommendation, risk analysis and other fields. However, it has been pointed out that the …

With the development of big data and data mining technology, machine learning has been
applied in many fields. However, there are a large number of difficulties for students who …

The increasing amount of data from web systems data is becoming one of the most valuable
resources for information retrieval and knowledge discovery. The huge content of …

Equipment quality‐related data contains valuable information. Data mining technology
seems to be an efficient method for extracting knowledge from large amounts of data. In this …

The emergence of the big data era has drastically altered people's lives and perceptions.
One needs a thorough understanding of the topic to effectively apply big data's benefits to …

Aiming at the problem of low accuracy of traditional algorithm model, an intelligent
recognition model of business English translation based on an improved GLR algorithm is …

This work intends to discover diversified association rules efficiently using a cluster
computing model. At first, the input data is pre-processed for data transformation. Then, the …

The integration of multimedia teaching refers to a novel teaching mode that combines
multimedia, information resources, and information methods with content and teaching …

For administrators in the field of education, the data generated in the actual education
process is difficult to achieve effective management due to its large amount of information …