本文選題：遠(yuǎn)程虛擬教育　切入點(diǎn)：通信　出處：《沈陽(yáng)工業(yè)大學(xué)學(xué)報(bào)》2017年04期 　論文類型：期刊論文

【摘要】：針對(duì)現(xiàn)有挖掘方法應(yīng)用到遠(yuǎn)程虛擬教育通信異常數(shù)據(jù)挖掘時(shí),其挖掘準(zhǔn)確率及應(yīng)用效率偏低的問(wèn)題,提出一種基于空間聚類算法(FWSCA)與差分進(jìn)化法的遠(yuǎn)程虛擬教育中異常數(shù)據(jù)挖掘方法.采用信息增益法提取遠(yuǎn)程虛擬教育通信數(shù)據(jù)特征,引入WTA規(guī)則對(duì)在線通信的數(shù)據(jù)特征進(jìn)行聚類,在此基礎(chǔ)上,采用稀疏分?jǐn)?shù)方法對(duì)數(shù)據(jù)進(jìn)行區(qū)分,采用FWSCA與差分進(jìn)化法相結(jié)合對(duì)運(yùn)程虛擬教育通信異常數(shù)據(jù)進(jìn)行挖掘.結(jié)果表明,采用該挖掘方法進(jìn)行異常數(shù)據(jù)挖掘,挖掘精度相比傳統(tǒng)挖掘算法精度高、時(shí)間短,具有一定的優(yōu)勢(shì).
[Abstract]:Aiming at the problem of low mining accuracy and application efficiency when the existing mining methods are applied to the remote virtual education communication abnormal data mining, the mining accuracy and the application efficiency of the mining methods are on the low side. An anomaly data mining method in distance virtual education based on spatial clustering algorithm (FWSCA) and differential evolution method is proposed. The information gain method is used to extract the data features of remote virtual education communication. The WTA rule is introduced to cluster the data features of online communication. On this basis, the sparse fraction method is used to distinguish the data, and the FWSCA and differential evolution method are combined to mine the abnormal data of the virtual educational communication. Using this mining method to mine abnormal data, the precision of mining is higher than that of the traditional mining algorithm, and the time is short, so it has some advantages.
【作者單位】： 華東師范大學(xué)教育科學(xué)學(xué)院;瓊臺(tái)師范學(xué)院信息技術(shù)系;華南師范大學(xué)教育信息技術(shù)學(xué)院;
【基金】：海南省高校教育教學(xué)改革研究項(xiàng)目(Hnjg2015-81)
【分類號(hào)】：G434;TP311.13

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 潘俊方;樊阿嬌;茹艷;李永祥;;基于物聯(lián)網(wǎng)的智慧交通大數(shù)據(jù)挖掘系統(tǒng)[J];無(wú)線互聯(lián)科技;2016年05期

2 董本清;彭健鈞;;復(fù)雜網(wǎng)絡(luò)數(shù)據(jù)流中的異常數(shù)據(jù)挖掘算法仿真[J];計(jì)算機(jī)仿真;2016年01期

3 王傳玉;劉震;王懷彬;;一種基于OPTICS和IncLOF的異常數(shù)據(jù)挖掘算法[J];天津理工大學(xué)學(xué)報(bào);2015年06期

4 鄭羽潔;李茜;;基于大數(shù)據(jù)混沌特性的分區(qū)域異常數(shù)據(jù)挖掘[J];河池學(xué)院學(xué)報(bào);2015年05期

5 郭黎利;張海龍;孫志國(guó);寧曉燕;;一種高頻帶利用率的PCSS-OFDM通信技術(shù)[J];沈陽(yáng)工業(yè)大學(xué)學(xué)報(bào);2015年05期

6 王莉君;何政偉;馮平興;;基于ICA的異常數(shù)據(jù)挖掘算法研究[J];電子科技大學(xué)學(xué)報(bào);2015年02期

7 陳鵬;司健;于子桓;王蔚e，

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