A rules extraction algorithm for IPTV customers forecasting based on the forecasting entropy measurement

A rules extraction algorithm for IPTV customers forecasting based on the forecasting entropy measurement

An algorithm model conformed to the user behavior,based on the massive IPTV user characteristic data which extract rules and classify IPTV users was proposed.First,IPTV user group description dimension in accordance with the user on demand was put forward.Namely,the user group could be described by...

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Bibliographic Details
Main Authors: Minjuan WANG, Zhengpeng JI, Chao LV
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2016-05-01
Series:Dianxin kexue
Subjects:
IPTV
demand behavior
equivalent class
information entropy
prediction measurement
rule extraction
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016153/
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http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016153/

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