Bisociation Networks for Creative Information Discovery

Nada Lavrac was invited speaker at KICSS-08 in Hanoi, on 22 December 2008 (http://www.jaist.ac.jp/kicss2008/)

Title: Semantic Data Mining for Creative Knowledge Discovery

Abstract: A major challenge for next generation data mining systems is creative knowledge discovery from highly diverse and distributed data/knowledge sources [1]. This talk presents a recently developed approach to information fusion and creative knowledge discovery from semantically annotated knowledge sources, where ontology information is used as background knowledge for subgroup discovery [2]. Case studies from medicine and functional genomics are used to present the lessons learned in semantic subgroup discovery [2,3]. Current directions in creative knowledge discovery through bisociative data analysis, as investigated in the European FP7 project BISON, are also outlined [4,5].

References:
 

[1] Nada Lavrac, Joost Kok, Jeroen de Bruin, Vid Podpecan (eds.) Proceedings of the ECML/PKDD-08 Workshop on Third Generation Data Mining: Towards Service-oriented Knowledge Discovery, Antwerpen, September 2008 (http://www.ecmlpkdd2008.org/SoKD08, http://www.ecmlpkdd2008.org/workshop-papers-sokd)

[2] Igor Trajkovski, Filip Zelezny, Nada Lavrac, Jakub Tolar. Learning relational destriptions of differentially expressed gene groups. IEEE Transactions on systems, man and cybernetics, Part C, 38(1): 16-25, 2008.

[3] Igor Trajkovski, Nada Lavrac, Jakub Tolar. SEGS: Search for enriched gene sets in microarray data. Journal of biomedical informatics 41(4): 588-601, 2008.

[4] BISON: Bisociation networks for creative information discovery (http://www.bisonet.eu/)

[5] Michael R. Berthold, Fabian Dill, Tobias Kötter, Kilian Thiel. Supporting creativity: Towards associative discovery of new insights. In T. Washio et al. (eds.): Proceedings of PAKDD 2008, Springer LNAI 5012, 14–25, 2008.