Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Modern scientific applications consume massive volumes of data produced by computer simulations. Such applications require new data management capabilities in order to scale to te...
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
Current business conditions have given rise to distributed teams that are mostly collocated except for one remote member. These “hub-and-satellite” teams face the challenge of...
Gina Venolia, John C. Tang, Ruy Cervantes, Sara Bl...
—Much of modern software development consists of building on older changes. Older periods provide the structure (e.g., functions and data types) on which changes in future period...