Event mining based on observations of the system

• Autorzy: Granat J.
• Języki publikacji: EN

Abstrakty

EN

Event mining is becoming a challenging area of research. Event in system analysis is not a new concept. It has been used in Petri nets, stochastic modeling, etc. However, there are new opportunities that come from the large amount of data that is stored in various databases. In this paper we will focus on formulating the event mining tasks that consider observations of the system as well as internal and external events.

Słowa kluczowe

EN

event mining; temporal data mining; telecommunications

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2005
• Tom: nr 3
• Strony: 87--90
• Opis fizyczny: Bibliogr. 7 poz., il.

Twórcy

autor

Granat J.

• National Institute of Telecommunications, Szachowa st 1, 04-894 Warsaw, Poland, Institute of Control and Computation Engineering, Warsaw University Technology Nowowiejska st 15/19, 00-665 Warsaw, Poland,

Bibliografia

• [1] M. Basseville and I. V. Nikiforov, Detection of Abrupt Changes: Theory and Application. New York: Englewood Cliffs, 1993.
• [2] J. Granat, P. Celej, C. Głowiński, and P. Białoń, “Design and management of IP networks, analitycal modules in management of IP networks”. Rep., National Institute of Telecommunications, Warsaw, 2001 (in Polish).
• [3] J. Granat, P. Celej, M. Kaska, M. Majdan, P. Rzepakowski, and J. Sobieszek, “An environment for monitoring, data mining and modeling with on-line processing of lagrge volumes of data”. Rep., National Institute of Telecommunications, Warsaw, 2004 (in Polish).
• [4] G. Jiang and G. Cybenko, “Temporal and spatial distributed event correlation for network security”, in Amer. Contr. Conf., Boston, USA, 2004.
• [5] D. Luckham, The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Boston: Addison-Wesley, 2002.
• [6] L. Perrochon, W. Mann, S. Kasriel, and D. C. Luckham, “Event mining with event processing networks”, in Pacific-Asia Conference on Knowledge Discovery and Data Mining, Lecture Notes in Computer Sciences. London: Springer-Verlag, 1999, vol. 1574, pp. 474–478.
• [7] C. Wei and Y. H. Lee, “Event detection from online news documents for supporting environmental scanning”, Decis. Supp. Syst., vol. 36, pp. 385–401, 2004.