【摘要】：隨著移動互聯(lián)網(wǎng)蓬勃發(fā)展,手機用戶總數(shù)龐大且逐步增加,這給電信運營商發(fā)展帶來機遇和挑戰(zhàn)。微信、微博等新媒體軟件給電信運營商的語音通話、短消息服務(wù)等傳統(tǒng)業(yè)務(wù)帶來很大的沖擊,三大運營商競爭激烈,挖掘用戶需求、定制化服務(wù)成為取得競爭優(yōu)勢的重要途徑;數(shù)量龐大的移動互聯(lián)網(wǎng)用戶的業(yè)務(wù)使用和行為活動產(chǎn)生了電信大數(shù)據(jù),給數(shù)據(jù)存儲和處理帶來很大的壓力;手機用戶越來越不滿足于傳統(tǒng)的業(yè)務(wù)服務(wù)和大眾化服務(wù),用戶對個性化服務(wù)要求越來越高。本文提出的用戶洞察分析系統(tǒng),基于Hadoop分布式存儲和處理技術(shù),整合和分析聯(lián)通用戶數(shù)據(jù),挖掘用戶特征,描述用戶畫像,既解決了電信大數(shù)據(jù)的問題,又可為用戶個性化服務(wù)和精準(zhǔn)營銷,占據(jù)競爭優(yōu)勢,提高運營商收益。本文主要通過介紹事實標(biāo)簽分析模塊、基礎(chǔ)統(tǒng)計模塊和系統(tǒng)用戶權(quán)限管理模塊來闡述系統(tǒng)的設(shè)計與實現(xiàn)。事實標(biāo)簽?zāi)K負(fù)責(zé)處理和分析海量用戶數(shù)據(jù),包括聯(lián)通運營商提供的語音通話詳單數(shù)據(jù)、上網(wǎng)詳單數(shù)據(jù)、應(yīng)用數(shù)據(jù)和位置數(shù)據(jù)等,挖掘用戶在語音通話、上網(wǎng)流量、上網(wǎng)小區(qū)、訪問應(yīng)用等方面的數(shù)據(jù)特征;基礎(chǔ)統(tǒng)計模塊主要對基本數(shù)據(jù)處理后的可視化實現(xiàn);系統(tǒng)用戶權(quán)限管理模塊對系統(tǒng)用戶、角色和權(quán)限進(jìn)行了設(shè)計,實現(xiàn)了系統(tǒng)權(quán)限的管理。本人參與了用戶洞察分析系統(tǒng)的需求分析、設(shè)計以及實現(xiàn)。在進(jìn)行需求分析時,通過用例圖、原型等獲取和明確系統(tǒng)需求;根據(jù)系統(tǒng)需求分析,進(jìn)行系統(tǒng)模塊的劃分、詳細(xì)設(shè)計和實現(xiàn),主要參與了事實標(biāo)簽分析模塊的設(shè)計與實現(xiàn),獨立完成了基礎(chǔ)統(tǒng)計模塊和系統(tǒng)用戶權(quán)限管理模塊的設(shè)計與實現(xiàn)。目前,該系統(tǒng)處于研發(fā)階段后期,部署于測試環(huán)境中的用戶洞察分析系統(tǒng)運行良好;本人參與和負(fù)責(zé)完成的模塊功能完善、運行穩(wěn)定。
[Abstract]:With the rapid development of mobile Internet, the total number of mobile phone users is huge and gradually increasing, which brings opportunities and challenges to the development of telecom operators. WeChat, Weibo and other new media software bring great impact to the traditional business such as voice call, short message service and so on. A large number of mobile Internet users' business use and behavior activities have produced the telecom big data, which has brought great pressure to data storage and processing. Mobile phone users are increasingly not satisfied with traditional business services and mass services. Users are demanding more and more personalized services. The user insight analysis system proposed in this paper, based on Hadoop distributed storage and processing technology, integrates and analyzes Unicom user data, excavates user characteristics, describes user portrait, and solves the problem of telecommunication big data. Personalized services and accurate marketing for users, occupy a competitive advantage, improve the operator's income. This paper describes the design and implementation of the system by introducing the fact label analysis module, the basic statistics module and the user authority management module of the system. The fact label module is responsible for processing and analyzing massive user data, including voice call detail sheet data provided by Unicom operator, Internet detail list data, application data and location data, and so on, mining users in voice calls, Internet traffic, and online communities. Access to the application of data features; basic statistics module is mainly to the basic data processing of visualization; system user rights management module to design the system users, roles and permissions to achieve the management of system permissions. I participated in the user insight analysis system requirements analysis, design and implementation. In the process of requirement analysis, the system requirements are obtained and defined by use case diagram, prototype and so on. According to the system requirement analysis, the system modules are divided, designed and implemented in detail, which mainly participate in the design and implementation of the fact label analysis module. The design and implementation of the basic statistics module and the user rights management module are completed independently. At present, the system is in the late stage of research and development, and the user insight analysis system deployed in the test environment runs well.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP311.52

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