Association rules analysis for objects hierarchy
Independent thesis Advanced level (degree of Master (One Year))Student thesis
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.
association rules, data mining, multi-level, DBLP
Mathematical Analysis Computer Science Software Engineering
IdentifiersURN: urn:nbn:se:bth-3512Local ID: oai:bth.se:arkivexF415A2BFABE10F33C12571FB004D9040OAI: oai:DiVA.org:bth-3512DiVA: diva2:830821
UppsokPhysics, Chemistry, Mathematics