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北京大学 [6]
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期刊论文 [28]
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An Adaptive Deep Transfer Learning Model for Rumor Detection without Sufficient Identified Rumors
期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 卷号: 2020, 页码: 12
作者:
Guo, Meicheng
;
Xu, Zhiwei
;
Liu, Limin
;
Guo, Mengjie
;
Zhang, Yujun
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/12/10
A comparative study of the class imbalance problem in Twitter spam detection
期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2018, 卷号: Vol.30 No.5
作者:
Li, Chaoliang
;
Liu, Shigang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/26
classification
class imbalance
online social network
Twitter spam detection
Sentiment analysis and spam detection in short informal text using learning classifier systems
期刊论文
SOFT COMPUTING, 2018, 卷号: 22, 页码: 7281-7291
作者:
Arif, Muhammad Hassan
;
Li, Jianxin
;
Iqbal, Muhammad
;
Liu, Kaixu
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Sentiment analysis
Spam detection
Learning classifier systems
High-dimensional
Sparseness
Neural networks for deceptive opinion spam detection: An empirical study
期刊论文
Information Sciences, 2017, 卷号: Vol.385-386, 页码: 213-224
作者:
Yafeng Ren
;
Donghong Ji
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/03/04
Deceptive opinion spam
Discrete features
Convolutional neural network
Recurrent neural network
Representation learning
Email Classification Research Trends: Review and Open Issues
期刊论文
IEEE Access, 2017, 卷号: Vol.5, 页码: 9044-9064
作者:
LiyanaShuib
;
RamGopalRaj
;
GhulamMujtaba
;
NahdiaMajeed
;
MohammedAliAl-Garadi
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  |  
浏览/下载:12/0
  |  
提交时间:2019/12/24
Electronic
mail
Feature
extraction
Area
measurement
Databases
Computer
science
Information
filters
Email
classification
spam
detection
phishing
detection
multi-folder
categorization
machine
learning
techniques
Neural networks for deceptive opinion spam detection: An empirical study
期刊论文
INFORMATION SCIENCES, 2017, 卷号: 385
作者:
Ren, Yafeng
;
Ji, Donghong
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/05
Deceptive opinion spam
Discrete features
Convolutional neural network
Recurrent neural network
Representation learning
Vote Trust: Leveraging Friend Invitation Graph to Defend against Social Network Sybils
期刊论文
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2016
Yang, Zhi
;
Xue, Jilong
;
Yang, Xiaoyong
;
Wang, Xiao
;
Dai, Yafei
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2017/12/04
Online social network
Sybil attack
Sybil detection
spam
Detecting Spam and Promoting Campaigns in Twitter
期刊论文
ACM TRANSACTIONS ON THE WEB, 2016, 卷号: 10
作者:
Zhang, Xianchao
;
Li, Zhaoxing
;
Zhu, Shaoping
;
Liang, Wenxin
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/09
Algorithms
Measurement
Experimentation
Social network
social spam
campaign detection
Web spam detection based on link diversity and content features
期刊论文
International Journal of Security and its Applications, 2016, 卷号: 10, 期号: 7, 页码: 363-372
作者:
Gongwen, Xu
;
Xiaomei, Li
;
Zhijun, Zhang
;
Li'Na, Xu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/16
Content features
Link diversity
Normal web pages
Page rank
TrustRank
web spam
MTC: A Fast and Robust Graph-Based Transductive Learning Method
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 1979-1991
作者:
Zhang, Yan-Ming
;
Huang, Kaizhu
;
Geng, Guang-Gang
;
Liu, Cheng-Lin
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2015/10/13
Graph-based method
large-scale manifold learning
semisupervised learning (SSL)
transductive learning (TL)
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