【作者】 方翔；

【导师】 张晓凌；

【作者基本信息】 北京工业大学 ， 软件工程（专业学位）， 2015， 硕士

【摘要】 技术交易市场对于我国来说目前属于一个新兴领域,处在发展阶段,并未有一套完善的体系和标准。然而,技术交易全程服务平台的出现恰恰帮助这个领域实现了技术交易一体化流程,不仅包括了技术市场中实体交易这种基本服务,还包含了技术服务、知识产权等虚拟产品的交易,更覆盖了技术商城、在线交易会洽谈、合同登记、交易地图、网上签约、绩效考核等全方位的交易服务。然而,在这样一个技术交易全程服务平台下,各种交易业务不断扩大,海量的平台数据也随之出现,包括了服务器产生的日志、数据库交易记录、全国技术市场交易数据信息等,产生了一种“数据膨胀,但知识信息贫乏”的现象。而这些数据信息背后蕴藏着大量的有价值的,有组织的知识,这些东西从每次交易服务过程中是无法看到的,因此一个数据分析系统的搭建对于处理这样大量的平台数据有着很大的帮助,借助数据挖掘等这样时代前沿的技术来发现对大数据信息的新的认识和理解。本研究依托于国家科技支撑计划课题,目的在于为技术交易全程服务这样的平台搭建属于自身的数据分析系统,利用数据挖掘这样新兴技术,让平台的管理者可以通过数据的分析,生成的报表或是直观的图形展示来进行相应的决策,调整技术交易市场策略,也为平台的用户提供更便捷的操作。本研究通过对技术交易全程服务平台所产生的各类数据进行了采集、整合,认真分析,拟定出系统的主要功能模块和最终实现的解决方案。其中主要包含总体技术架构模式,系统的数据库表结构的设计以及功能模块的详细设计,在完成系统的总统功能实现之后,通过服务器应用集群的模式对各个模块功能、性能进行连续性的测试和调试。本研究的对象为数据分析系统,采用B/S架构,应用主流的SSH框架、JSP、JavaScript和jQuery等来支撑系统的整体部署,通过频繁项集模式,关联规则等方法并结合Apriori算法来实现系统,主要功能模块包括了技术商城产品关联销售分析、技术产品的推荐分析、技术交易趋势图分析等。更多还原

【Abstract】 Technology trading market in China currently belongs to a new field, in the development stage, did not have a set of perfect system and standard. However, the emergence of technology trading service platform just help the whole field of realization of the transaction integration process, including not only the technology market entity transaction basic services, also includes technical services, intellectual property and other virtual products trading, more coverage of the technical mall, online transaction will negotiate, contract registration, trading map.However, in such a technical trading full service platform, various kinds of trade continued to expand, the platform of mass data have emerged, including the server generates a log, database transaction records, the national technology market transaction data and information, creates a "number according to the expansion of knowledge, but information poor" phenomenon. But behind these data contains a lot of valuable, organized knowledge, these things from the service time of each transaction process is unable to see, so a data analysis system construction has the very big help to deal with such a large number of platform data.Relying on the project in the national science and technology support of this research, the purpose is to provide full service such technology trading platform to build their own data analysis system, the use of data mining such emerging technology, let the platform management through analysis of the data, generated report or intuitive graphical display of the corresponding decision-making, adjustment of technology transaction market strategy.In this study, through all kinds of data generated in technology trading service platform of collection, integration, analysis, main function modules of a system and the solutions, System design of the database structure and the function module detailed design, after the completion of system’s function realization, test and debug the continuity of function.The object of this study is to analyze data system, using B/S framework, SSH framework, JSP mainstream application, JavaScript and jQuery to support the overall deployment of the system, through frequent itemset patterns, association rules method combined with the Apriori algorithm to achieve the main function of the system, including the technology of product sales, technology Products Mall Association recommended technology trading trend chart, etc..更多还原