A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
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This paper will represent a novel technique of decision making based on Mind-maps. The Mind-maps of the previously learned activities are stored in database. These Mind-maps are clustered based on their closeness factor and number-weighting. The closeness may be activity specific or decision specific. The classification of Mind-maps is done based on SVM (Support Vector Machine). Every Mind-map has its own behavioral features and a feature extraction based on activity centric mechanism is used to generate a feature vectors. These feature vectors are used for clustering and classification. As the approach takes in to account the decision and related data the way human being perceives it, it has great potential to address difficult decision problems.