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SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
15 years 11 months ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
FLAIRS
2010
15 years 9 months ago
Using a Graph-Based Approach for Discovering Cybercrime
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder, Jeffrey Graves
EUC
2006
Springer
15 years 10 months ago
Dynamic Repartitioning of Real-Time Schedule on a Multicore Processor for Energy Efficiency
Multicore processors promise higher throughput at lower power consumption than single core processors. Thus in the near future they will be widely used in hard real-time systems as...
Euiseong Seo, Yongbon Koo, Joonwon Lee
ICES
2000
Springer
91views Hardware» more  ICES 2000»
15 years 10 months ago
Dynamic Optimisation of Non-linear Feed Forward Circuits
Abstract. An evolutionary algorithm is used to evolve a digital circuit which computes a simple hash function mapping a 16-bit address space into an 8-bit one. The target technolog...
Ernesto Damiani, Valentino Liberali, Andrea Tettam...
NIPS
2008
15 years 8 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink