Data Mining for Social Networks Open Data Analysis

被引：0
|
作者：
Spiridonov, Roman E. [1 ]
Cvetkov, Vladislav D. [1 ]
Yurchik, Oleg M. [1 ]
机构：
[1] St Petersburg Electrotech Univ LETI, St Petersburg, Russia
来源：
2017 IEEE II INTERNATIONAL CONFERENCE ON CONTROL IN TECHNICAL SYSTEMS (CTS) | 2017年
关键词：
data mining; data analysis; classification; clasterisation; data interpretation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Social networks are no longer a place where you can spend leisure time and chat with friends. It is also a business instrument in work with their audiences to increase brand recognition, total result from marketing and move sales up. For this purposes it's needed to make thorough analysis of the target audience, scan dozens of user profiles, reveal their interests, positions and estimate users LTV. Automation of this work using data mining methods to handle large amounts of data through pre-processing, data analysis and interpretation. In this article, we are considering suitable solutions to solve these tasks.
引用
收藏
页码：395 / 396
页数：2
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