This paper describes a system to support humanities scholars in their interpretation of literary work. It presents a user interface and web architecture that integrates text minin...
Catherine Plaisant, James Rose, Bei Yu, Loretta Au...
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
1 To achieve more efficient video indexing and access, we introduce a video database management framework and strategies for video content structure and events mining. The video sh...
Xingquan Zhu, Walid G. Aref, Jianping Fan, Ann Chr...
With the rapid progress of mobile devices and positioning technologies, Trajectory Databases (TD) have been in the core of database research during the last decade. Analysis and k...
Nikos Pelekis, Ioannis Kopanakis, Irene Ntoutsi, G...