by admin | Jun 24, 2016 | 2016 ieee projects
Querying uncertain data has become a prominent application due to the proliferation of user-generated content from social media and of data streams from sensors. When data ambiguity cannot be reduced algorithmically, crowdsourcing proves a viable approach, which...
by admin | Jun 24, 2016 | 2016 ieee projects
Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings Unsupervised Cross-domain Sentiment Classification is the task of adapting a sentiment classifier trained on a particular domain (source domain), to a different domain (target domain), without...
by admin | Jun 24, 2016 | 2016 ieee projects
In recent years, the boundaries between e-commerce and social networking have become increasingly blurred. Many e-commerce Web sites support the mechanism of social login where users can sign on the Web sites using their social network identities such as their...
by admin | Jun 24, 2016 | 2016 ieee projects
How can users who know neither programming nor statistics explore large databases? We present a novel interface, designed to guide explorers through their data: Blaeu. Blaeu is a database front-end, “boosted” with unsupervised learning primitives. Thanks to these...
by admin | Jun 24, 2016 | Uncategorized
Redundant and irrelevant features in data have caused a long-term problem in network traffic classification. These features not only slow down the process of classification but also prevent a classifier from making accurate decisions, especially when coping with big...
