In order to realize efficient data processing in wireless network, this paper designs an
automatic classification algorithm of multisearch data association rules in a wireless …

In recent years, there have been frequent cases of damage to the ecological environment,
and the public interests of members of society have been repeatedly violated. The safety of …

Several web applications maintain data repositories containing references to thousands of
real-world entities originating from multiple sources, and they continually receive new data …

Frequent item set mining (FIM), is one of the prevalent, well-known methods of data mining
and is a topic of interest for researchers in the field of decision making. With the …

Association rule mining (ARM) is a technique for discovering meaningful associations within
databases, typically handling discrete and categorical data. Recent advancements in ARM …

Because the association between multi-attribute data of e-commerce is not obvious, the
traditional collaborative classification method of e-commerce multi-attribute data has the …

In the traditional incremental mining under the spatial co-location mode, parallel computing
is often used for obstacle clustering, which causes the running time of the mining method to …

With the development of social informatization, it has become an inevitable trend for
university project management to use informatization tools to organize teaching decisions …

In the era of massive data, people have an urgent need for technology that can automatically
and intelligently transform data into useful knowledge. This demand promotes the rapid …