Background: In the increasingly large scale of the current multimedia information database,
as described in various patents, big data technology is becoming more and more mature, and the
problem of massive multimedia data mining is becoming more and more important.
Method: In order to solve these problems through the analysis of the status for multimedia data mining,
the general system structure in the application of multimedia information mining technology is
analyzed, and the different methods and principles of text mining, image mining, video mining, web
data mining in multimedia information data mining are made detailed analysis and the advantage and
disadvantages are contrasted. Through the design of different experiments, the effectiveness and inferior
of different methods are verified.
Result: In the improved algorithm, the mining result of the multimedia text data based on correlation
analysis is very different from the actual multimedia text data, the result is closer to the original mining
image result, so this method is more practical.
Conclusion: Through the summary and discussion on the problems existed in the current method, the
faced challenges of multimedia information data mining technology are pointed out, to lay the foundation
for the further development of the related technology.