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IJNSEC
2010
112views more  IJNSEC 2010»
14 years 4 months ago
Detecting Connection-Chains: A Data Mining Approach
A connection-chain refers to a mechanism in which someone recursively logs into a host, then from there logs into another host, and so on. Connection-chains represent an important...
Ahmad Almulhem, Issa Traoré
KDD
1994
ACM
104views Data Mining» more  KDD 1994»
15 years 1 months ago
Comparing International Development Patterns Using Multi-Operator Learning and Discovery Tools
The multistrategy knowledge discovery tool, INLEN, is applied to databases consisting of economic and demographic facts and statistics about the countries of the world. Preliminar...
Kenneth A. Kaufman
BIRD
2007
Springer
154views Bioinformatics» more  BIRD 2007»
15 years 3 months ago
Mining Spatial Gene Expression Data for Association Rules
Abstract. We analyse data from the Edinburgh Mouse Atlas GeneExpression Database (EMAGE) which is a high quality data source for spatio-temporal gene expression patterns. Using a n...
Jano I. van Hemert, Richard A. Baldock
ADMI
2010
Springer
14 years 8 months ago
Real-Time Sensory Pattern Mining for Autonomous Agents
Abstract. Autonomous agents are systems situated in dynamic environments. They pursue goals and satisfy their needs by responding to external events from the environment. In these ...
Pedro Sequeira, Cláudia Antunes
KDD
2003
ACM
155views Data Mining» more  KDD 2003»
15 years 10 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook