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Association rules analysis for objects hierarchy
Blekinge Institute of Technology, School of Engineering, Department of Systems and Software Engineering.
2006 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

Association rules are one of the most popular methods of data mining. This technique allows to discover interesting dependences between objects. The thesis concerns on association rules for hierarchy of objects. As a multi–level structure is used DBLP database, which contains bibliographic descriptions of scientific papers conferences and journals in computer science. The main goal of thesis is investigation of interesting patterns of co-authorship with respect to different levels of hierarchy. To reach this goal own extracting method is proposed.

Place, publisher, year, edition, pages
2006. , 97 p.
Keyword [en]
association rules, data mining, multi-level, DBLP
National Category
Mathematical Analysis Computer Science Software Engineering
Identifiers
URN: urn:nbn:se:bth-3512Local ID: oai:bth.se:arkivexF415A2BFABE10F33C12571FB004D9040OAI: oai:DiVA.org:bth-3512DiVA: diva2:830821
Uppsok
Physics, Chemistry, Mathematics
Supervisors
Note
p.pietruszewski@op.plAvailable from: 2015-04-22 Created: 2006-10-02 Last updated: 2015-06-30Bibliographically approved

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fulltext(2078 kB)59 downloads
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fa1b4374ae5bb722011d787b5df89d3f1f6e78f53bcdf1aebfd92cbc82f73be8e1a79802fa4bde6ffe265b3facc756d16635e72155bbc8ef23acf19e9931d914
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Department of Systems and Software Engineering
Mathematical AnalysisComputer ScienceSoftware Engineering

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CiteExportLink to record
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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
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Output format
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  • asciidoc
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