Skip to Main Content Area
  • CPS-VO
    • Contact Support
  • Browse
    • Calendar
    • Announcements
    • Repositories
    • Groups
  • Search
    • Search for Content
    • Search for a Group
    • Search for People
    • Search for a Project
    • Tagcloud
      
 
Not a member?
Click here to register!
Forgot username or password?
 
Home
National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

short messages usage

biblio

Visible to the public Graph Centrality Based Spam SMS Detection

Submitted by grigby1 on Mon, 02/10/2020 - 11:18am
  • Measurement
  • unsolicited e-mail
  • unlabeled SMS
  • unclassified SMS
  • Support vector machines
  • status updates
  • spam SMS detection
  • spam messages
  • spam detection
  • social networking (online)
  • short messages usage
  • short messages
  • security of data
  • Scalability
  • pubcrawl
  • Metrics
  • centrality scores
  • labeled SMS
  • Human Factors
  • Human behavior
  • Hidden Markov models
  • graphs centrality metrics
  • graph theory
  • graph centrality measures
  • Graph Centrality
  • feature extraction
  • electronic messaging
  • degree centrality
  • Data preprocessing
  • Data mining
  • classifier

Terms of Use  |  ©2023. CPS-VO