| [NT 15000228] null: |
Biologically inspired techniques for data mining: a brief overview of particle swarm optimization for KDD / Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Saeed ur Rehman -- Probabilistic control and swarm dynamics in mobile robots and ants / Eugene Kagan, Alexander Rybalov, Alon Sela, Hava Siegelmann, Jennie Steshenko -- A measure optimized cost-sensitive learning framework for imbalanced data classification / Peng Cao, Osmar Zaiane, Dazhe Zhao -- Towards an improved ensemble learning model of artificial neural networks: lessons learned on using randomized numbers of hidden neurons / Fatai Anifowose, Jane Labadin, Abdulazeez Abdulraheem -- Ant programming algorithms for classification / Juan Luis Olmo, Jose Raul Romero, Sebastian Ventura -- Machine fault diagnosis and prognosis using self-organizing map / Kesheng Wang, Zhenyou Zhang, Yi Wang -- An enhanced artificial bee colony optimizer for predictive analysis of heating oil prices using least squares support vector machines / Zuriani Mustaffa, Yuhanis Yusof, Siti Sakira Kamaruddin -- Comparison of linguistic summaries and fuzzy functional dependencies related to data mining / Miroslav Hudec, Miljan Vucetic, Mirko Vujosevic -- Application of artificial neural network and genetic programming in civil engineering / Pijush Samui, Dhruvan Choubisa, Akash Sharda -- A promising direction towards automatic construction of relevance measures / Lucianne Varn, Kourosh Neshatian -- Adaptive scheduling for real-time distributed systems / Apurva Shah -- Discovery of emergent sorting behavior using swarm intelligence and grid-enabled genetic algorithms / Dimitris Kalles, Alexis Kaporis, Vassiliki Mperoukli, Anthony Chatzinouskas -- Application of biologically inspired techniques for industrial and environmental research via air quality monitoring network / Tianxing Cai -- Online prediction of blood glucose levels using genetic algorithm / Khaled Eskaf, Tim Ritchings, Osama Bedawy -- Security of wireless devices using biological-inspired RF fingerprinting technique / Saeed ur Rehman, Shafiq Alam, Iman T. Ardekani. |