Multilayer clustering: A discovery experiment on country level trading data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8777, Issue , 2014, Pages 87-98

  Gamberger, Dragan ^a   Mihelčić, Matej ^a   Lavrač, Nada ^b,c  

^a RUDER BO KOVI INSTITUTE   (Croatia)

^b JO EF STEFAN INSTITUTE   (Slovenia)

^c UNIVERSITY OF NOVA GORICA   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCE;

COHERENT CLUSTERS; CONDITIONAL INDEPENDENCE ASSUMPTION; MINING ALGORITHMS; MULTI-VIEW CLUSTERING; MULTILAYER CLUSTERING; NOVEL CLUSTERING; SUPERVISED CLASSIFICATION; TWO-COMPONENT;

CLUSTERING ALGORITHMS;

EID: 84908701075     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-11812-3_8     Document Type: Conference Paper

References (12)

1. Gan, G., Ma, C., Wu, J.: Data Clustering: Theory, Algorithms, and Applications. Society for Industrial and Applied Mathematics (2007)
2. Cha, S.H.: Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions. International Journal of Mathematical Models and Methods in Applied Sciences 1, 300-307 (2007)
3. Kumar, V., Chhabra, J.K., Kumar, D.: Impact of Distance Measures on the Performance of Clustering Algorithms. Intelligent Computing, Networking, and Informatics 243, 183-190 (2014)
4. Sun, S.: A survey of multi-view machine learning. Neural Computing and Applications 23, 2031-2038 (2013)
5. Bickel, S., Scheffer, T.: Multiview clustering. In: Proc. of the Fourth IEEE Int. Conf. on Data Mining, pp. 19-26 (2004)
6. Parida, L., Ramakrishnan, N.: Redescription mining: Structure theory and algorithms. In: Proc. of Association for the Advancement of Artificial Intelligence (AAAI 2005), pp. 837-844 (2005)
7. Galbrun, E., Miettinen, P.: From black and white to full color: extending redescription mining outside the boolean world. In: Statistical Analysis and Data Mining, pp. 284-303 (2012)
8. Caldarelli, G.: Scale-Free Networks: Complex Webs in Nature and Technology. Oxford University Press (2007)
9. Breiman, L.: Random forests. Machine Learning 45(1), 5-32 (2001)
10. Pfahringer, B., Holmes, G., Wang, C.: Millions of random rules. In: Proc. of the Workshop on Advances in Inductive Rule Learning, 15th European Conference on Machine Learning, ECML (2004)
11. UNCTAD database, http://unctadstat.unctad.org/
12. World Bank, http://data.worldbank.org/indicator