CLASSIFICATION AND DETECTION OF ABNORMAL EVENTS IN TIME SERIES OF GRAPHS - Data Mining in Time Series Databases - page 148

28. Guattery, S. and Miller, G.L. (1998). On the Quality of Spectral Separators.
SIAM J. Matrix Anal. Appl. , (3), 701-719.

29. Chung, F.R.K. (1997). Spectral Graph Theory . CBMS, Regional Conference
Series in Mathematics. American Mathematical Society.
30. Fiedler, M. (1973). Algebraic Connectivity of Graphs. Czech. Math. J. ,
23 (98), 298-305.
31. Sanfeliu, A. and Fu, K.S. (1983). A Distance Measure Between Attributed
Relational Graphs for Pattern Recognition. IEEE Transactions on Systems
Management and Cybernetics , 13 (3), 353-362.
32. Bunke, H. and Messmer, B.T. (1997). Recent Advances in Graph Match-
ing. International J. Pattern Recognition and Artificial Intelligence , 11 (1),
169-203.
33. Dickinson, P., Bunke, H., Dadej, A., and Kraetzl, M. (2001). Application
of Median Graphs in Detection of Abnomalous Change in Communication
Networks. In Proc. World Multiconference on Systemics, Cybernetics and
Informatics , 5 , pp. 194-197. Orlando, US.
34. Jiang, X. and Bunke, H. On median Graphs: Properties, Algorithms, and
Applications. IEEE Trans. Pattern Anal. and Machine Intell. , 23 (10), 1144-
1151.
35. Astola, J.T. and Campbell, T.G. (1989). On Computation of the Running
Median. IEEE Trans. Acoustics, Speech, and Signal Processing ,

19

37 (4), 572-

574.
36. Boutaba, R., Guemhioui, K.E., and Dini, P. (1997). An Outlook on Intranet
Management. IEEE Communications Magazine , pp. 92-99.
37. Thottan, M. and Ji, C. (1998). Proactive Anomaly Detection Using Dis-
tributed Intelligent Agents. IEEE Network , (5), 21-27.

38. Higginbottom, G.N. (1998). Performance Evaluation of Communication Net-
works . Artech House, Massachusetts.
39. Jerkins, J.L. and Wang, J.L. (1998). A Close Look at Trac Measurements
from Packet Networks. In IEEE GLOBECOM 98, Sydney , 4 , 2405-2411.
40. White, C.C., Sykes, E.A., and Morrow, J.A. (1995). An Analytical Approach
to the Dynamic Topology Problem. Telecommunication Systems , 3 , 397-413.
41. Becker, R.A., Eick, S.G., and Wilks, A.R. (1995). Visualizing Network Data.
IEEE Trans. Visualization and Computer Graphics , 1 (1), 16-21.
42. Shoubridge, P., Kraetzl, M., and Ray, D. (1999) Detection of Abnormal
Change in Dynamic Networks. In IEEE Information, Decision and Control,
IDC '99 conference , pp. 557-562. Adelaide, Australia.
43. Hood, C.S. and Ji, C. (1997). Beyond Thresholds: An Alternative Method
for Extracting Information from Network Measurements. In IEEE Global
Telecommunications Conference, GLOBECOM '97 , 1 , 487-491.
44. Dickinson, P., Bunke, H., Dadej, A., and Kraetzl, M. (2001). Application of
Median Graphs in Detection of Anomalous Change in Time Series of Net-
works. Submitted for publication.

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