Behavior-Based Collective Classification in Sparsely Labeled Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2723433
Abstract: Classification in sparsely labeled networks is challenging to traditional neighborhood-based methods due to the lack of labeled neighbors. In this paper, we propose a novel behavior-based collective classification (BCC) method to improve the classification performance… read more here.
Keywords: classification; labeled networks; behavior based; classification sparsely ... See more keywords
Finding Route Hotspots in Large Labeled Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2019.2956924
Abstract: In many advanced network analysis applications, like social networks, e-commerce, and network security, hotspots are generally considered as a group of vertices that are tightly connected owing to the similar characteristics, such as common habits… read more here.
Keywords: finding route; route hotspots; hotspots large; labeled networks ... See more keywords