User behavior pattern mining method based on multi-dimension and multi-granularity analysis in telecom networks
In order to better understand the behavior of users in telecom networks,it takes CDR (call detail record) data of large-scale telecom network as the research object.By using the mixed probability model and feature engineering method,the multi-dimension characteristics of the call time,call frequency...
Saved in:
Main Authors: | Xiaotao CHENG, Lixin JI, Ruiyang HUANG, Hongtao YU, Yizhuo YANG |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2018-10-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018083 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bridging the gap: multi-granularity representation learning for text-based vehicle retrieval
by: Xue Bo, et al.
Published: (2024-11-01) -
A Multi-granularity Decomposition Mechanism of Complex Tasks Based on Density Peaks
by: Ziling Pang, et al.
Published: (2018-09-01) -
Multi-granularity Android malware fast detection based on opcode
by: Xuetao ZHANG, et al.
Published: (2019-12-01) -
Mechanism for green unicast routing protection in multi-granularity transport networks
by: Jun-ling SHI, et al.
Published: (2014-10-01) -
Future of Telecom and Thinkings on De-Telecom
by: Leping Wei
Published: (2013-02-01)