Financial prediction is an important research field in financial data mining.
金融预测是金融数据挖掘的一个重要研究方向。
Financial data mining is one of the most challenging research directions in information society.
金融数据挖掘是信息社会中一个极具挑战性的研究方向。
Banks will still be mining data from your account in order to sell you financial products, including things of little value, such as credit insurance and credit-card protection plans.
银行仍然会从你的账户中挖掘数据，以便向你出售金融产品，包括一些没有价值的东西，比如信用保险和信用卡保护计划。
The application domains of data mining in bank industry are wide, including client relationship management, risk analysis and profit analysis of financial products.
数据挖掘技术在银行领域可应用的范围非常广泛，如客户关系管理、风险分析与控制、资金匹配、金融产品的赢利分析等等。
Google has shoveled vast financial and engineering resources into a collection of data mining and artificial intelligence systems, from speech recognition to machine translation to computer vision.
谷歌把大量财力和技术资源投入到了一系列数据挖掘和人口智能系统之中，从语音识别到机器翻译再到计算机视觉，不一而足。
Analysis of real-time financial data, process control, rule observance, security application are fields in which data mining based embedded mobile database can be used.
金融数据的实时分析，过程控制，规章的遵守，安全应用这些都是基于嵌入式数据库的数据挖掘可以应用的领域。
In addition, the thesis sums up how to apply data mining technology according different control request, and provides a reference to apply data mining technology in financial real-time control.
同时，系统地总结了如何根据不同控制要求使用不同的数据挖掘技术，为数据挖掘技术在财务实时控制方面的应用提供一个参考。
Data mining are used to analyze the foreign exchange rate time series and acquire the correct, implicated and hidden information, which has practical significance in the financial field.
利用数据挖掘技术分析外汇汇率时间序列，从时间序列中获得正确的、隐含的、潜在的信息对于金融领域研究具有重要的现实意义。
This paper discusses some of the key technologies in the implementation process of CRM systems in financial industry, meanwhile studies the bank CRM technology which basing on data-mining in detail.
本文具体探讨了金融行业的客户关系管理系统在实施过程的若干关键技术，同时对基于数据挖掘的银行客户关系管理技术进行了研究。
Based on above analysis, this paper integrates the study of data mining and financial time series.
基于上述原因，本文将数据挖掘和金融时间序列结合在一起进行研究。
Then do a thorough and meticulous research into the theory of data mining. At last discuss the following three aspects:First of all, focus on the research into financial indexes of stock.
本文首先介绍了股票分析与预测的背景知识和方法，其次对数据挖掘理论做了深入细致的研究，然后着重从以下三个方面展开讨论。
Next, the text has probed into the concept and the structure of data warehouse and data mining, as well as the application data mining strategy and data mining technology in financial decision-making.
其次探讨了数据仓库、数据挖掘的概念与结构，以及数据挖掘策略和数据挖掘技术在财务决策中的应用。
Next, the text has probed into the concept and the structure of data warehouse and data mining, as well as the application data mining strategy and data mining technology in financial decision-making.
其次探讨了数据仓库、数据挖掘的概念与结构，以及数据挖掘策略和数据挖掘技术在财务决策中的应用。
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