Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
With the amount of available text data in relational databases growing rapidly, the need for ordinary users to search such information is dramatically increasing. Even though the ...
Fang Liu, Clement T. Yu, Weiyi Meng, Abdur Chowdhu...
Data stream processing systems have become ubiquitous in academic and commercial sectors, with application areas that include financial services, network traffic analysis, battlef...
The proliferation of electronic content has notably lead to the apparition of large corpora of interrelated structured documents (such as HTML and XML Web pages) and semantic annot...