Target Searching Simulation of Computer Information Technology Based on Improved Apriori Algorithm

Abstract:

The fixed assets of large enterprises are the material basis for the development of enterprises, and the innovation of financial management has great significance to the economic growth efficiency of enterprises. Only by improving the using efficiency of fixed assets and reducing the production cost, it can improve the competitiveness of large enterprises. In this paper we use the AprioriTidStr algorithm to improve the Apriori algorithm, and use VB software to establish financial management index table of fixed assets. According to the index table, we establish the search association rule knowledge base of financial management target. In order to test the stability and reliability of the system, we do numerical analysis on the fixed assets investment of enterprises, and obtain the financial forecast accurate rate curve and the financial control form within one week. It provides the computer technology support for innovation of large fixed assets management.

• Periodical: Applied Mechanics and Materials (Volumes 608-609)
• Pages: 631-635
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.608-609.631
• Online since: October 2014
• Authors: Yang You Zhang*
• Keywords: Apriori Algorithm, Association Rule, Collision Theory, Intersection Accounting, Prediction Curve

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