This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
Background: The incorporation of prior biological knowledge in the analysis of microarray data has become important in the reconstruction of transcription regulatory networks in a...
Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai
Combination of prior knowledge and implicit knowledge hidden in the data of system can enhance the quality of information services in Knowledge Grid. Fuzzy Cognitive Maps (FCMs) ar...
The content and searching method of knowledge base are lack of the consideration of user requirements, it is difficult for the user to select the knowledge satisfy with the user r...
Knowledge sharing across community boundaries has been discussed in literature as an important source of new knowledge and innovation. Different studies point out the difficulties...