Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Machine Learning in Logistics: Machine Learning Algorithms: Data Preprocessing and Machine Learning Algorithms
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2017 (English)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Data Ductus is a Swedish IT-consultant company, their customer base ranging from small startups to large scale cooperations. The company has steadily grown since the 80s and has established offices in both Sweden and the US.

With the help of machine learning, this project will present a possible solution to the errors caused by the human factor in the logistic business.A way of preprocessing data before applying it to a machine learning algorithm, as well as a couple of algorithms to use will be presented.

Abstract [sv]

Data Ductus är ett svenskt IT-konsultbolag, deras kundbas sträcker sig från små startups till stora redan etablerade företag. Företaget har stadigt växt sedan 80-talet och har etablerat kontor både i Sverige och i USA.

Med hjälp av maskininlärning kommer detta projket att presentera en möjlig lösning på de fel som kan uppstå inom logistikverksamheten, orsakade av den mänskliga faktorn.Ett sätt att förbehandla data innan den tillämpas på en maskininlärning algoritm, liksom ett par algoritmer för användning kommer att presenteras.

Place, publisher, year, edition, pages
2017. , p. 23
Keywords [en]
Machine Learning Algorithms, Data Preprocessing
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ltu:diva-64721OAI: oai:DiVA.org:ltu-64721DiVA, id: diva2:1118764
Educational program
Computer Game Programming, bachelor's level
Supervisors
Examiners
Available from: 2017-08-07 Created: 2017-07-02 Last updated: 2017-08-07Bibliographically approved

Open Access in DiVA

fulltext(1380 kB)476 downloads
File information
File name FULLTEXT02.pdfFile size 1380 kBChecksum SHA-512
dd96a60aa93c705624885c52e7b1faf898ed68d5b13e50765681fdc52490b5a9d72d98bfa256d1c61c375bef29d6a9cd1145ae9d667b5d907c69565526539469
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Andersson, Viktor
By organisation
Computer Science
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 476 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1189 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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