English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 DetailsSummary
  How Biased is our Validation (Data) for AS Relationships?

Prehn, L., & Feldmann, A. (2021). How Biased is our Validation (Data) for AS Relationships? In IMC '21 (pp. 612-620). New York, NY: ACM. doi:10.1145/3487552.3487825.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0009-7426-A Version Permalink: https://hdl.handle.net/21.11116/0000-0009-7427-9
Genre: Conference Paper
Latex : How Biased is our Validation (Data) for {AS} Relationships?

Files

show Files
hide Files
:
3487552.3487825.pdf (Publisher version), 2MB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0009-7428-8
Name:
3487552.3487825.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
This work is licensed under a Creative Commons Attribution International 4.0 License. © 2021 Copyright held by the owner/author(s). ACM ISBN 978-1-4503-9129-0/21/11. https://doi.org/10.1145/3487552.3487825
License:
-

Locators

show

Creators

show
hide
 Creators:
Prehn, Lars1, Author           
Feldmann, Anja1, Author           
Affiliations:
1Internet Architecture, MPI for Informatics, Max Planck Society, ou_2489697              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2021
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/3487552.3487825
BibTex Citekey: Prehn_IMC21
 Degree: -

Event

show
hide
Title: ACM Internet Measurement Conference
Place of Event: Virtual Event, USA
Start-/End Date: 2021-11-02 - 2021-11-04

Legal Case

show

Project information

show

Source 1

show
hide
Title: IMC '21
  Subtitle : Proceedings of the 2021 ACM Internet Measurement Conference
  Abbreviation : IMC 2021
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 612 - 620 Identifier: ISBN: 978-1-4503-9129-0