by admin | Jun 24, 2016 | 2016 ieee projects
Keyword suggestion in web search helps users to access relevant information without having to know how to precisely express their queries. Existing keyword suggestion techniques do not consider the locations of the users and the query results; i.e., the spatial...
by admin | Jun 24, 2016 | 2016 ieee projects
The k-nearest neighbor approach (k-NN) has been extensively used as a powerful non-parametric technique in many scientific and engineering applications. However, this approach incurs a large computational cost. Hence, this issue has become an active research field. In...
by admin | Jun 24, 2016 | 2016 ieee projects
Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering Traditional cluster ensemble approaches have three limitations: (1) They do not make use of prior knowledge of the datasets given by experts. (2) Most of the conventional cluster...
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...
