Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
There is a growing interest in on-line algorithms for analyzing and querying data streams, that examine each stream element only once and have at their disposal, only a limited amo...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
Active learning has been applied to different NLP tasks, with the aim of limiting the amount of time and cost for human annotation. Most studies on active learning have only simul...
A stream processor executes an application that has been decomposed into a sequence of kernels that operate on streams of data elements. During the execution of a kernel, all stre...
Xuejun Yang, Li Wang, Jingling Xue, Yu Deng, Ying ...
: We present a new approach to integrate annotation data from public sources for the expression analysis of genes and proteins. Expression data is materialized in a data warehouse ...