English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery

Boley, M., Goldsmith, B. R., Ghiringhelli, L. M., & Vreeken, J. (2017). Identifying Consistent Statements about Numerical Data with Dispersion-Corrected Subgroup Discovery. Data Mining and Knowledge Discovery, First Online. doi:10.1007/s10618-017-0520-3.

Item is

Files

show Files
hide Files
:
s10618-017-0520-3.pdf (Publisher version), 2MB
Name:
s10618-017-0520-3.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
© The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Locators

show

Creators

show
hide
 Creators:
Boley, Mario1, Author           
Goldsmith, Bryan R.2, Author
Ghiringhelli, Luca M.2, Author
Vreeken, Jilles1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2017-06-28
 Publication Status: Published online
 Pages: 28 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/s10618-017-0520-3
BibTex Citekey: Boley2017
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Data Mining and Knowledge Discovery
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Springer
Pages: - Volume / Issue: First Online Sequence Number: - Start / End Page: - Identifier: -