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KDD
2009
ACM
160views Data Mining» more  KDD 2009»
14 years 2 months ago
Clustering event logs using iterative partitioning
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangel...
JUCS
2007
112views more  JUCS 2007»
13 years 7 months ago
Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study
: In this paper we propose an application of data mining methods in the prediction of the availability and performance of Internet paths. We deploy a general decision-making method...
Leszek Borzemski
ASIAMS
2009
IEEE
13 years 8 months ago
Uncovering Hidden Information Within University's Student Enrollment Data Using Data Mining
To date, higher educational organizations are placed in a very high competitive environment. To remain competitive, one approach is to tackle the student and administration challen...
Fadzilah Siraj, Mansour Ali Abdoulha
CIKM
2008
Springer
13 years 9 months ago
Mining social networks using heat diffusion processes for marketing candidates selection
Social Network Marketing techniques employ pre-existing social networks to increase brands or products awareness through word-of-mouth promotion. Full understanding of social netw...
Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King
IDEAS
2008
IEEE
256views Database» more  IDEAS 2008»
14 years 2 months ago
WIDS: a sensor-based online mining wireless intrusion detection system
This paper proposes WIDS, a wireless intrusion detection system, which applies data mining clustering technique to wireless network data captured through hardware sensors for purp...
Christie I. Ezeife, Maxwell Ejelike, Akshai K. Agg...