本文選題：核心網(wǎng) + 數(shù)據(jù)挖掘�。� 參考：《北京郵電大學(xué)》2014年碩士論文

【摘要】：隨著移動通信技術(shù)的飛速發(fā)展,移動通信用戶規(guī)模不斷擴大,運營商的網(wǎng)絡(luò)建設(shè)也趨于成熟。在網(wǎng)絡(luò)運行維護過程中,運營商積累了海量的數(shù)據(jù),并且以指數(shù)級規(guī)模不斷增長。這些數(shù)據(jù),尤其是核心網(wǎng)的數(shù)據(jù)中,蘊含著豐富的用戶行為信息。因此如何從這些大數(shù)據(jù)中快速并精準地挖掘出對運營商有價值的用戶行為信息,是運營商普遍面臨的一個重要課題。在競爭日趨激烈的通信運營市場中,準確掌握用戶行為信息對于運營商來說有極其重要的意義。 本論文針對于核心網(wǎng)的多種數(shù)據(jù)源,提出了一套普適的數(shù)據(jù)挖掘流程,結(jié)合移動通信用戶行為的特殊性,嘗試提出了一般的用戶行為分析方法,然后結(jié)合運營商的現(xiàn)網(wǎng)采集數(shù)據(jù)進行了實際的數(shù)據(jù)挖掘操作,并且對挖掘結(jié)果進行了一系列的業(yè)務(wù)場景分析。 本論文的研究工作和成果如下： 1.基于核心網(wǎng)多種常見數(shù)據(jù)源的特點,建立了專門針對核心網(wǎng)數(shù)據(jù)源的數(shù)據(jù)挖掘流程。 2.通過分析移動通信用戶的一般行為特點,提出了用戶行為分析的基本理論和方法。 3.基于現(xiàn)網(wǎng)的實際數(shù)據(jù),運用聚類等一系列數(shù)據(jù)挖掘方法進行數(shù)據(jù)挖掘的實現(xiàn)工作,得到了一系列有價值的用戶行為信息。 4.將己知的用戶行為在一定適用范圍內(nèi)進行數(shù)值建模,并且深入研究了數(shù)值模型的實際含義。
[Abstract]:With the rapid development of mobile communication technology, the scale of mobile communication users continues to expand, and the network construction of operators tends to mature. In the process of network operation and maintenance, operators accumulate massive data and increase exponentially. These data, especially in the core network, contain rich user behavior information. Therefore, how to quickly and accurately mine the valuable user behavior information from these big data is an important topic that operators generally face. In the increasingly competitive communication operation market, it is very important for operators to accurately grasp user behavior information. In this paper, a set of universal data mining flow is proposed for multiple data sources in the core network. Combined with the particularity of mobile communication user behavior, a general user behavior analysis method is proposed. Then the actual data mining operation is carried out based on the data collected by the operator, and a series of business scenarios are analyzed. The research work and results of this thesis are as follows: 1. Based on the characteristics of many common data sources in the core network, a data mining process for the core network data sources is established. 2. By analyzing the general behavior characteristics of mobile communication users, the basic theory and method of user behavior analysis are put forward. 3. Based on the actual data of the present network, a series of data mining methods, such as clustering, are used to realize the data mining, and a series of valuable user behavior information are obtained. 4. The known user behavior is numerically modeled within a certain range of applications, and the actual meaning of the numerical model is studied in depth.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN929.5;TP311.13

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