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首页> 外文期刊>International Journal of Computer Trends and Technology >Web Mining Privacy using Advanced DSA – Spatial LBS Case Study
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Web Mining Privacy using Advanced DSA – Spatial LBS Case Study

机译:使用高级DSA的Web挖掘隐私–空间LBS案例研究

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Web mining is new area of research in information technology; so many business applications that utilize data mining and text mining techniques to extract useful business information on the web have emerged from web searching to web mining. It is important for students to acquire knowledge and hands on experience in web mining during their education. In order to effectively utilize the power of web, information technology professional need to have sufficient knowledge and experience in various web technologies and applications. Recently many large companies such as Google, Microsoft, Amazon, eBay have opened access to their services and data through Application Programming Interfaces (APIs). In education, these APIs provide an ideal playground for students to acquire a valuable experience in leveraging the APIs to build interesting web mining applications. With the advent of the World Wide Web, many business applications that utilize data and text techniques to extract useful business information on the Web have evolved from Web searching. This paper reports on an experience using open Web Application Programming Interfaces (APIs) that have been made available by major Internet companies (e.g., Google, Amazon, and eBay) in a project to teach Web applications. The observations of the performance and a survey of the APIs show that we achieve project objectives and acquire valuable experience in leveraging the APIs to build interesting Web applications. We build website called “Executive DashBoard” an ebusiness idea provide a platform for users to gather specifically useful information for their special products to sell or buy. DashBoard could provide complete production information, such as retail prices on Amazon, auction prices and seller details on eBay, and hot news of certain items from Google. The Web Services paradigm promises to enable rich flexible and dynamic interoperation of highly distributed, heterogeneous network enabled services.
机译:网络挖掘是信息技术研究的新领域。从网络搜索到网络挖掘,出现了许多利用数据挖掘和文本挖掘技术在网络上提取有用的商业信息的商业应用程序。对于学生来说,在学习过程中获取知识和实践经验非常重要。为了有效利用Web的力量,信息技术专业人员需要在各种Web技术和应用程序中具有足够的知识和经验。最近,许多大型公司(例如Google,Microsoft,Amazon,eBay)已通过应用程序编程接口(API)公开访问其服务和数据。在教育方面,这些API为学生提供了一个理想的游乐场,使他们可以利用API来构建有趣的Web挖掘应用程序,从而获得宝贵的经验。随着万维网的出现,许多利用数据和文本技术在Web上提取有用的业务信息的业务应用程序都从Web搜索发展而来。本文报告了使用开放式Web应用程序编程接口(API)的经验,这些经验已由大型Internet公司(例如Google,Amazon和eBay)在一个用于教授Web应用程序的项目中提供。对性能的观察和对API的调查表明,我们实现了项目目标并获得了利用API构建有趣的Web应用程序的宝贵经验。我们建立了一个名为“ Executive DashBoard”的网站,这是一个电子商务构想,为用户提供了一个平台,以供其收集用于出售或购买其特殊产品的特别有用的信息。 DashBoard可以提供完整的生产信息,例如亚马逊上的零售价格,eBay上的拍卖价格和卖家详细信息,以及Google某些商品的热门新闻。 Web服务范式有望实现高度分布式,异构网络支持的服务的丰富灵活和动态互操作。

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