An Algorithm for XBRL Taxonomy Quick Analysis

Liming Luo, Jianpeng Zhu, Ying Wang
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Abstract

Along with global economic and information technology swift development, eXtensible Business Reporting Language (XBRL) already has become a research focus in the recent years because of its economic significance. More and more researchers pay close attention on how to improvement the performance of XBRL system. With project practice, a new algorithm for taxonomy quick analysis is proposed in this paper. The algorithm can improve the performance of XBRL system remarkably. Through using the algorithm, the performance that user experienced can increase about eight times.
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XBRL分类快速分析算法
随着全球经济和信息技术的飞速发展,可扩展商业报告语言(eXtensible Business Reporting Language, XBRL)因其经济意义而成为近年来的研究热点。如何提高XBRL系统的性能越来越受到研究者的关注。结合工程实践,提出了一种新的分类快速分析算法。该算法可以显著提高XBRL系统的性能。通过使用该算法,用户体验的性能可提高8倍左右。
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