“Multi-Query Optimization in Federated Databases using Evolutionary Algorithm” Research Paper by ITU to be Published in IEEE International Conference


“Multi-Query Optimization in Federated Databases using Evolutionary Algorithm” Research Paper by ITU to be Published in IEEE International Conference
September 18, 2015

One of the research papers titled “Multi-Query Optimization in Federated Databases using Evolutionary Algorithm” by The Data Science lab of Information Technology University is for publication at IEEE International Conference on Machine Learning and Application (ICMLA 2015), Miami, Florida, USA.

In the research paper, developed by Data Science Lab RA Sameen Mansha under the supervision of Director Data Science Lab of ITU Dr Faisal Kamiran, a general distributed multi-query processing problem motivated by the need to speedup data acquisition in federated databases using evolutionary algorithm is studied. The optimization process consists of enumerating plans, estimating their cost and selecting the best one with minimum cost.  ICMLA is a leading venue (H-Index = 16 over Google Metrics) in the area of Data Science.