【摘要】：技術(shù)交易市場對(duì)于我國來說目前屬于一個(gè)新興領(lǐng)域,處在發(fā)展階段,并未有一套完善的體系和標(biāo)準(zhǔn)。然而,技術(shù)交易全程服務(wù)平臺(tái)的出現(xiàn)恰恰幫助這個(gè)領(lǐng)域?qū)崿F(xiàn)了技術(shù)交易一體化流程,不僅包括了技術(shù)市場中實(shí)體交易這種基本服務(wù),還包含了技術(shù)服務(wù)、知識(shí)產(chǎn)權(quán)等虛擬產(chǎn)品的交易,更覆蓋了技術(shù)商城、在線交易會(huì)洽談、合同登記、交易地圖、網(wǎng)上簽約、績效考核等全方位的交易服務(wù)。然而,在這樣一個(gè)技術(shù)交易全程服務(wù)平臺(tái)下,各種交易業(yè)務(wù)不斷擴(kuò)大,海量的平臺(tái)數(shù)據(jù)也隨之出現(xiàn),包括了服務(wù)器產(chǎn)生的日志、數(shù)據(jù)庫交易記錄、全國技術(shù)市場交易數(shù)據(jù)信息等,產(chǎn)生了一種“數(shù)據(jù)膨脹,但知識(shí)信息貧乏”的現(xiàn)象。而這些數(shù)據(jù)信息背后蘊(yùn)藏著大量的有價(jià)值的,有組織的知識(shí),這些東西從每次交易服務(wù)過程中是無法看到的,因此一個(gè)數(shù)據(jù)分析系統(tǒng)的搭建對(duì)于處理這樣大量的平臺(tái)數(shù)據(jù)有著很大的幫助,借助數(shù)據(jù)挖掘等這樣時(shí)代前沿的技術(shù)來發(fā)現(xiàn)對(duì)大數(shù)據(jù)信息的新的認(rèn)識(shí)和理解。本研究依托于國家科技支撐計(jì)劃課題,目的在于為技術(shù)交易全程服務(wù)這樣的平臺(tái)搭建屬于自身的數(shù)據(jù)分析系統(tǒng),利用數(shù)據(jù)挖掘這樣新興技術(shù),讓平臺(tái)的管理者可以通過數(shù)據(jù)的分析,生成的報(bào)表或是直觀的圖形展示來進(jìn)行相應(yīng)的決策,調(diào)整技術(shù)交易市場策略,也為平臺(tái)的用戶提供更便捷的操作。本研究通過對(duì)技術(shù)交易全程服務(wù)平臺(tái)所產(chǎn)生的各類數(shù)據(jù)進(jìn)行了采集、整合,認(rèn)真分析,擬定出系統(tǒng)的主要功能模塊和最終實(shí)現(xiàn)的解決方案。其中主要包含總體技術(shù)架構(gòu)模式,系統(tǒng)的數(shù)據(jù)庫表結(jié)構(gòu)的設(shè)計(jì)以及功能模塊的詳細(xì)設(shè)計(jì),在完成系統(tǒng)的總統(tǒng)功能實(shí)現(xiàn)之后,通過服務(wù)器應(yīng)用集群的模式對(duì)各個(gè)模塊功能、性能進(jìn)行連續(xù)性的測試和調(diào)試。本研究的對(duì)象為數(shù)據(jù)分析系統(tǒng),采用B/S架構(gòu),應(yīng)用主流的SSH框架、JSP、JavaScript和jQuery等來支撐系統(tǒng)的整體部署,通過頻繁項(xiàng)集模式,關(guān)聯(lián)規(guī)則等方法并結(jié)合Apriori算法來實(shí)現(xiàn)系統(tǒng),主要功能模塊包括了技術(shù)商城產(chǎn)品關(guān)聯(lián)銷售分析、技術(shù)產(chǎn)品的推薦分析、技術(shù)交易趨勢圖分析等。
[Abstract]:The technology trading market is a new field in our country at present, it is in the stage of development, and there is not a perfect system and standard. However, the emergence of technology transaction service platform has helped to realize the integration process of technology transaction in this field. It includes not only the basic service of entity transaction in the technology market, but also the technology service. Intellectual property rights and other virtual products trading, but also covered the technology mall, online trade fair negotiations, contract registration, trade maps, online signing, performance appraisal and other comprehensive trading services. However, under such a technology transaction full-course service platform, all kinds of transaction business are expanding constantly, massive platform data also appear, including the log generated by the server, the database transaction record, The national technology market transaction data information, has produced a kind of "data expansion, but the knowledge information is poor" phenomenon. And there's a lot of valuable, organized knowledge behind this data that you can't see in every transaction service. Therefore, the construction of a data analysis system is of great help to deal with such a large number of platform data, with the help of data mining and other cutting-edge technologies of the times to discover the new understanding and understanding of big data information. The purpose of this study is to build a data analysis system for a platform such as technology transaction full service, and to make use of the new technology such as data mining, which is based on the National Science and Technology support Program. The platform manager can make the corresponding decision through the data analysis, the generated report form or the visual graph display, adjusts the technology transaction market strategy, also provides the more convenient operation for the platform user. Through collecting, integrating and analyzing all kinds of data produced by the whole service platform of technology transaction, this study worked out the main function modules of the system and the final solution. It mainly includes the overall technical architecture mode, the design of the database table structure of the system and the detailed design of the function module. After the realization of the presidential function of the system, each module is functioned through the mode of server application cluster. Continuous testing and debugging of performance. The object of this study is data analysis system, using B / S architecture, using mainstream SSH framework such as JSP JavaScript and jQuery to support the overall deployment of the system. The system is implemented by frequent itemset pattern, association rules and Apriori algorithm. The main function modules include related sales analysis, recommendation analysis, trend chart analysis and so on.
【學(xué)位授予單位】：北京工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TP311.52
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本文編號(hào)：2242453