Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Pragmatic Approach to Association Rule Learning in Real-World Scenarios
Högskolan i Borås, Akademin för bibliotek, information, pedagogik och IT.
Högskolan i Borås, Akademin för bibliotek, information, pedagogik och IT.
Högskolan i Borås, Akademin för bibliotek, information, pedagogik och IT.ORCID iD: 0000-0003-0412-6199
2015 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We present a pragmatic approach for designing an efficient tool for extracting knowledge from customer data in the retail industry, e.g. market basket analysis. Association rule learning is an established topic within data mining and knowledge discovery with a large interest from the business intelligence community. With a focus on properties from a real-world environment and with an aim to get customer insights on a cross-hierarchy level, we have chosen to build upon the common Apriori algorithm. This algorithm has been optimized for the chosen real-world environment and adapted for implementation on commonly available computing platforms and workstations using the Microsoft .net framework. Several parallelization strategies have been developed and experimental results indicate that a significant speed-up is possible and that the tool can be utilized for producing valuable information.

Place, publisher, year, edition, pages
IEEE, 2015.
National Category
Computer Sciences
Research subject
Business and IT
Identifiers
URN: urn:nbn:se:hj:diva-38078DOI: 10.1109/CSCI.2015.87Local ID: 0;0;miljJAILOAI: oai:DiVA.org:hj-38078DiVA, id: diva2:1163367
Conference
The 2015 International Conference on Computational Science and Computational Intelligence (CSCI'15)
Available from: 2016-01-14 Created: 2017-12-06 Last updated: 2019-08-23Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Sundell, HåkanJohansson, Ulf

Search in DiVA

By author/editor
Sundell, HåkanJohansson, Ulf
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 98 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf