Abstract
The collection stability of traditional systems is low, it is not easy to delete interference data, the access speed is slow, and the error cannot be effectively detected. For this reason, this paper designs a new automatic filing optimization system of financial management information under the background of information technology development. From four aspects of data dynamic collection, data de-duplication, data access control and RAID error detection scheme improvement, the traditional system is optimized. The financial management information is collected through a data collection method that ensures high efficiency and high stability. In the process of accessing, the semantic ontology is formed, and the access group in the time domain is classified by the support vector machine method to improve the access speed. The repetitive data model is established, and the deduplication processing is realized by the fractional Fourier transform technique combined with the post-processing result of fourth-order cumulant. The limited set of HDD error detection is reset to help with long-term filing of RAID system data. The result is high filing speed and good filing effect, and the conclusion that the design system is highly practical is obtained.
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