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Design and Implementation of Intelligent Financial Data Mining and Analysis System Based on Web

机译:基于Web的智能财务数据挖掘与分析系统的设计与实现

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Most financial information service companies urgently need a tool to lower complexity of financial data collection and arrangement so the data analysis staff will be more accurate and efficient to process large amounts of transaction data. To solve these problems, this paper designs an intelligent Internet financial data collection and analysis system. By means of the platform system, transaction data in exchange site on the internet will be obtained in time in order to avoid updating data disappearance in real-time. Large amounts of real-time data on internet can be effectively utilized to store into local database and they will be taken as data source in upper application development system. Therefore, internet-based transaction data will display analysis results in high reference value after this platform grasp and analysis mining so that customers can more timely grasp the latest professional knowledge so as to rapidly make the best decision under new environment and situation according to this knowledge information.
机译:大多数金融信息服务公司迫切需要一种工具来降低金融数据收集和整理的复杂性,因此数据分析人员将更加准确和高效地处理大量交易数据。为了解决这些问题,本文设计了一种智能的互联网金融数据收集与分析系统。通过平台系统,可以及时获取互联网上交易场所的交易数据,从而避免了实时更新数据消失的情况。互联网上的大量实时数据可以被有效地利用来存储到本地数据库中,并将其作为上层应用程序开发系统中的数据源。因此,通过该平台的掌握和分析挖掘,基于互联网的交易数据将以较高的参考价值显示分析结果,使客户能够更及时地掌握最新的专业知识,从而根据新知识在新的环境和情况下迅速做出最佳决策。信息。

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