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SP
1999
IEEE
184views Security Privacy» more  SP 1999»
14 years 1 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
DMIN
2006
106views Data Mining» more  DMIN 2006»
13 years 10 months ago
A Medical Claim Fraud/Abuse Detection System based on Data Mining: A Case Study in Chile
This paper describes an effective medical claim fraud/abuse detection system based on data mining used by a Chilean private health insurance company. Fraud and abuse in medical cla...
Pedro A. Ortega, Cristián J. Figueroa, Gonz...
OTM
2005
Springer
14 years 2 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
APNOMS
2008
Springer
13 years 11 months ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
MIS
2007
Springer
159views Multimedia» more  MIS 2007»
13 years 8 months ago
The application of fluid mobility modelling in wireless cellular networks
Mobility models, synthetic or trace, try to accurately model the movement of a single user or a group of users. Models are used in simulators and emulators to investigate the cons...
Ronan J. Skehill, Sean McGrath