国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

基于樸素貝葉斯算法的社交網(wǎng)絡(luò )數據挖掘技術(shù)研究
DOI:
CSTR:
作者:
作者單位:

清遠職業(yè)技術(shù)學(xué)院

作者簡(jiǎn)介:

通訊作者:

中圖分類(lèi)號:

TP391

基金項目:


Social networks based on naive bayes algorithm of data mining technology research
Author:
Affiliation:

Qingyuan Polytechnic

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪(fǎng)問(wèn)統計
  • |
  • 參考文獻
  • |
  • 相似文獻
  • |
  • 引證文獻
  • |
  • 資源附件
  • |
  • 文章評論
    摘要:

    近年來(lái),隨著(zhù)互聯(lián)網(wǎng)技術(shù)飛速發(fā)展與普及,大量社交網(wǎng)絡(luò )平臺迅速崛起。社交網(wǎng)絡(luò )平臺拉近了日常人際關(guān)系,提供了便捷的信息通訊交流通道。同時(shí),針對社交網(wǎng)絡(luò )平臺數據挖掘的技術(shù)研究成為不可缺少的網(wǎng)絡(luò )數據研究領(lǐng)域一部分。現有社交網(wǎng)絡(luò )數據挖掘技術(shù)所采用的傳統數據挖掘算法與數據分離模式,存在大數據多元特征條件下,數據挖掘準確度降低、挖掘分類(lèi)邏輯混亂等現象。針對問(wèn)題產(chǎn)生根源,提出基于樸素貝葉斯算法的社交網(wǎng)絡(luò )數據挖掘技術(shù)研究。采用基于樸素貝葉斯算法設計的PCIE-FN社交網(wǎng)絡(luò )數據挖掘平臺進(jìn)行全面化的深入性解決。通過(guò)實(shí)驗證明,提出的基于樸素貝葉斯算法的社交網(wǎng)絡(luò )數據挖掘技術(shù)研究,各項數據滿(mǎn)足社交網(wǎng)絡(luò )數據挖掘日常應用要求。

    Abstract:

    in recent years, with the rapid development and popularization of Internet technology, a large number of social networking platform rapid rise. Closing the daily interpersonal social networking platform, provides the convenient information communication channel. At the same time, in view of the social networking platform for data mining technology research has become an indispensable part of network data field. Existing social network data mining techniques adopted by the traditional data mining algorithm and data separation model, there are multiple characteristics under the condition of big data, data mining classification logic chaos phenomenon such as lower accuracy and mining. Roots in view of the problem, based on naive bayes algorithm of social network data mining research. Based on naive bayes algorithm design PCIE - FN social network platform to provide solution to comprehensive data mining. Experiments show that the proposed social networks based on naive bayes algorithm data mining technology research, all data for social network data mining application requirements.

    參考文獻
    相似文獻
    引證文獻
引用本文

陳湘輝.基于樸素貝葉斯算法的社交網(wǎng)絡(luò )數據挖掘技術(shù)研究計算機測量與控制[J].,2017,25(6):42.

復制
分享
文章指標
  • 點(diǎn)擊次數:
  • 下載次數:
  • HTML閱讀次數:
  • 引用次數:
歷史
  • 收稿日期:2016-12-23
  • 最后修改日期:2016-12-23
  • 錄用日期:2017-01-06
  • 在線(xiàn)發(fā)布日期: 2017-07-18
  • 出版日期:
文章二維碼
阳朔县| 乌审旗| 安乡县| 峨眉山市| 泾川县| 社旗县| 炎陵县| 方城县| 嘉兴市| 华容县| 南岸区| 绍兴市| 清丰县| 万全县| 山阳县| 永仁县| 宁阳县| 韩城市| 青岛市| 三明市| 弥勒县| 黄浦区| 乌海市| 砚山县| 新竹市| 潜江市| 吕梁市| 安义县| 阳泉市| 临桂县| 清新县| 华蓥市| 万山特区| 石柱| 栾川县| 安平县| 晴隆县| 南开区| 巢湖市| 晋州市| 阳谷县|