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» Network Structuring and Training Using Rule-Based Knowledge
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DKE
2007
95views more  DKE 2007»
14 years 9 months ago
Strategies for improving the modeling and interpretability of Bayesian networks
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
Ádamo L. de Santana, Carlos Renato Lisboa F...
ECSQARU
2005
Springer
15 years 3 months ago
On the Use of Restrictions for Learning Bayesian Networks
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
Luis M. de Campos, Javier Gomez Castellano
ICEIS
2008
IEEE
15 years 4 months ago
Next-Generation Misuse and Anomaly Prevention System
Abstract. Network Intrusion Detection Systems (NIDS) aim at preventing network attacks and unauthorised remote use of computers. More accurately, depending on the kind of attack it...
Pablo Garcia Bringas, Yoseba K. Penya
P2PKM
2004
14 years 11 months ago
A Space-Efficient Model for Sharing Personal Knowledge Objects in Peer Communities
Abstract. In the future it is likely that peer communities will be routinely established for the purpose of sharing electronic resources and targeted information among groups of pe...
Fred S. Annexstein, Kenneth A. Berman
DGO
2007
168views Education» more  DGO 2007»
14 years 11 months ago
A distributed event-triggered knowledge sharing system
Government agencies globally are facing problems such as illegal immigration, terrorism, and disease diagnosis and control. Solutions to these problems rely heavily on collaborati...
Seema Degwekar, Jeff DePree, Stanley Y. W. Su, How...