数据采掘在电子支付系统中的作用
Role of Data Mining in E-Payment systems
摘要：
数据采掘是从大型数据库中提取隐含知识、意外模式和新规则的过程。各种定制的数据采掘工具已被开发用于特定领域的应用，如生物医学，DNA分析和电信。数据采掘的趋势包括进一步努力探索新的应用领域和处理复杂数据类型的方法、算法可扩展性、基于约束的数据采掘和可视化方法。在本文中，我们将介绍特定领域的安全多方计算技术和应用。数据采掘作为计算机科学的基础和应用研究领域已经成熟。在本文中，我们调查了一些最近的方法和架构，其中数据采掘已应用于电子支付系统领域。在本文中，我们限制我们的讨论数据采掘的背景下，电子支付系统。我们还提到了几个方向，在这一领域的进一步工作，根据调查。
英文摘要：
Data Mining deals extracting hidden knowledge, unexpected pattern and new rules from large database. Various customized data mining tools have been developed for domain specific applications such as Biomedicine, DNA analysis and telecommunication. Trends in data mining include further efforts towards the exploration of new application areas and methods for handling complex data types, algorithm scalability, constraint based data mining and visualization methods. In this paper we will present domain specific Secure Multiparty computation technique and applications. Data mining has matured as a field of basic and applied research in computer science in general. In this paper, we survey some of the recent approaches and architectures where data mining has been applied in the fields of e-payment systems. In this paper we limit our discussion to data mining in the context of e-payment systems. We also mention a few directions for further work in this domain, based on the survey.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
