基于改进决策树算法的网格资源业务中心多层次冗余数据快速检索方法。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Wei Sun, Hui Liu, Yu Wang, Weihao Shi, Xiao Wang, Zhiwei Zou
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引用次数: 0

摘要

当前电网业务处理大量数据操作,数据检索经常遇到冗余问题。传统的基于决策树的方法在面对冗余干扰时难以实现准确的数据采集。为了解决这一问题,本研究提出了一种基于改进决策树算法的网格资源业务中心平台多级冗余数据检索方法。该方法首先利用网格资源构建多级数据决策树,然后应用基于赤池信息准则的决策树剪枝算法。蚁群算法对决策树模型的剪枝参数进行优化,得到最优剪枝参数后,对网格资源业务中间平台数据决策树进行处理,生成改进版本。随后,基于改进决策树的多级冗余数据检索方法通过设计重复数据处理流程和多级冗余数据判别机制,实现了网格资源业务中分层冗余数据的快速检索。实验结果表明,改进的决策树算法将多级冗余数据检索精度提高了14%。优化后的中间平台数据决策树模型实现了网格资源服务数据层次结构的更全面表示,能够有效地从中间平台数据中检索多级冗余数据,包括图像和文本类别。最大f1得分达到0.99,检索时间仅为4.5 s,比预定义阈值低1.5 s,具有良好的实用性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A fast retrieval method for multilevel redundant data in grid resource business middle office based on improved decision tree algorithm.

A fast retrieval method for multilevel redundant data in grid resource business middle office based on improved decision tree algorithm.

A fast retrieval method for multilevel redundant data in grid resource business middle office based on improved decision tree algorithm.

A fast retrieval method for multilevel redundant data in grid resource business middle office based on improved decision tree algorithm.

The current power grid business handles massive data operations where data retrieval frequently encounters redundancy issues. Conventional decision tree-based methods struggle to achieve accurate data acquisition when facing redundant interference. To address this challenge, this study proposes a multi-level redundant data retrieval method using an improved decision tree algorithm for grid resource business center platforms. The methodology first establishes a multi-level data decision tree using grid resource business middle-platform data, then applies a decision tree pruning algorithm based on Akaike information criterion. The ant colony algorithm optimizes the pruning parameters of the decision tree model, and after obtaining optimal pruning parameters, processes the grid resource business middle-platform data decision tree to generate an improved version. Subsequently, the multi-level redundant data retrieval method based on the improved decision tree implements fast retrieval of hierarchical redundant data in grid resource business through designed repetitive data processing flows and multi-level redundant data discrimination mechanisms. The experimental results demonstrate that the improved decision tree algorithm improves multi-level redundant data retrieval accuracy by 14%. The optimized decision tree model for middle-platform data achieves more comprehensive representation of grid resource service data hierarchies and enables effective retrieval of multi-level redundant data including both image and text categories from the middle-platform data. The maximum F1-score reaches 0.99 with retrieval time of only 4.5 s, which is 1.5 s below the predefined threshold, confirming excellent practical performance.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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