Map matching deals with GPS coordinates to corresponding points or segments on a road network map. The work has various applications in both vehicle navigating and tracking domains. Traditional rule-based approach for solving the problem yielded great results. However, its performance depends underlying algorithm Mathematical/Statistical models employed approach. For example, HMM Matching O(N2)...

Multi-label classification (MLC) has recently attracted increasing interest in the machine learning community. Several studies provide surveys of methods and datasets for MLC, a few empirical comparisons MLC methods. However, they are limited number considered. This paper provides comprehensive investigation wide range on wealth from different domains. More specifically, our study evaluates 26 ...

ML-kNN is a well-known algorithm for multi-label classification. Although effective in some cases, ML-kNN has some defect due to the fact that it is a binary relevance classifier which only considers one label every time. In this paper, we present a new method for multi-label classification, which is based on lazy learning approaches to classify an unseen instance on the basis of its k nearest ...