Yongtao Zhang and Na Yang
Artificial intelligence, information collection, data analysis, convolutional neural network
With the accelerated advancement of computer and network communication technology, the explosive growth of Internet information, the advancement of science and technology, and the advancement of Internet technology, contemporary artificial intelligence is also advancing quickly, and the ongoing advancement of machine learning is accompanied by a significant number of new developments. And the amount of jumbled information data has significantly expanded. Today, practically every user must search through a lot of stuff online every day. We need to apply artificial intelligence to better gather, organise, and store these vast volumes of information data. By gathering large amounts of data and conducting simulation tests, it is possible to efficiently address the issues of a lengthy information collection process and low analytical data accuracy. Insufficient important information will be produced by data collection and processing, making it impossible to satisfy users in terms of accuracy and applicability. However, the two well- known data systems Hadoop and Spark handle comparable issues and enable quick and precise analysis of large amounts of data in the context of modern big data.
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