Clustering and Ranking Methods for Graph-based Data

• Autorzy: Paweł Lula
• Języki publikacji: EN

Abstrakty

EN

In this paper the problem of relationship similarity has been discussed. This type of similarity helps to identify and describe patterns in systems represented by graphs. In future research the concept of relationship similarity will be extended to include semantic similarity, which includes relationship similarity, taxonomy similarity and attribute similarity. (fragment of text)

Słowa kluczowe

EN

Business cluster

PL

Klastry

• Czasopismo: Studia i Prace Uniwersytetu Ekonomicznego w Krakowie
• Rocznik: 2009
• Numer: nr 6
• Strony: 31--38

Twórcy

autor

Paweł Lula

• Cracow University of Economics, Poland

Bibliografia

• Batagelj, V. and Mrvar, A. (2008) Pajek. Program for Analysis and Visualization of Large Networks. Reference Manual. List of Commands with a Short Explanation. Version 1.23, Ljubljana, April 1.
• Cook, D. J. and Holder, L. B. (eds) (2006) Mining Graph Data. John Wiley & Sons.
• Gettor, L. and Diehl, C. P. (2005) Link Mining: A Survey, SIGKDD Explorations vol. 7, nr 2, December.
• Nooy, W. de, Mrvar, A. and Batagelj, V. (2005) Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences), Cambridge University Press.