Application of K-means algorithm based on A-D model in calling abnormal customer mining
In order to make use of massive voice communication records and cluster high-quality clients (telecom fraud clients,advertisers) with various kinds of voice communication abnormalities,a behavioral feature model of abnormal voice communication customers was designed and constructed.Based on the mode...
Saved in:
Main Authors: | Jian ZHOU, Yongge SHI, Meibin HE |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2018-04-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018021/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Abnormal trajectory detection method based on enhanced density clustering and abnormal information mining
by: Ming HE, et al.
Published: (2017-12-01) -
A Method of Abnormal Cell Analysis for Customer Experience Active Optimization
by: Gen Yuan, et al.
Published: (2014-08-01) -
An approach based on double-frontier DEA for determining priorities and obtaining weights in AHP
by: Hossein Azizi
Published: (2023-09-01) -
A multi-criteria decision making model to locate the hub ports
(case study: the maritime industry of Iran)
by: Amir Zabihi, et al.
Published: (2022-03-01) -
SMS seed customers mining model and algorithm based on content analysis
by: Zhichao HUANG, et al.
Published: (2016-02-01)