數(shù)據(jù)挖掘技術(shù)在電信客戶分析中的應(yīng)用

本文在研究數(shù)據(jù)挖掘技術(shù)和電信客戶分析系統(tǒng)的基礎(chǔ)上,研究和提出了基于粗糙集等
價(jià)關(guān)系的電信客戶分析系統(tǒng),本系統(tǒng)所采用的核心算法,是結(jié)合電信行業(yè)特點(diǎn),對(duì)傳統(tǒng)Apriori關(guān)聯(lián)規(guī)則挖掘算法的改進(jìn),利用粗糙集等價(jià)關(guān)系的概念進(jìn)行關(guān)聯(lián)規(guī)則的挖掘。構(gòu)建了其在電信客戶分析中的應(yīng)用模型,并作為某電信公司客戶分析系統(tǒng)的核心部件投入使用,取得了較好的應(yīng)用效果。
關(guān)鍵詞:數(shù)據(jù)挖掘, 客戶分析, 客戶關(guān)系管理
Abstract: Combined with the characteristics of the telecom business, the core algorithm adopted by this system improves the traditional mining algorithm of the Apriori association rule to fulfill the mining of the association rule through the concept of the equivalent relation of rough set. It constructs an application model for the telecom customer analysis, which has been applied to the customer analysis system of some telecom company as a core part and achieved very good results.
Keywords: Data Mining, Telcom, Customer Analysis, Customer Relationship Management