by admin | Jun 24, 2016 | 2016 ieee projects
High utility itemsets (HUIs) mining is an emerging topic in data mining, which refers to discovering all itemsets having a utility meeting a user-specified minimum utility threshold min_util. However, setting min_util appropriately is a difficult problem for users....
by admin | Jun 24, 2016 | 2016 ieee projects
Collaborative Filtering (CF) is one of the most successful recommendation approaches to cope with information overload in the real world. However, typical CF methods equally treat every user and item, and cannot distinguish the variation of user’s interests...
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...
