The focus of this paper is the discovery of anomalous spatio-temporal windows. We propose a Discretized SpatioTemporal Scan Window approach to address the question of how we can t...
Aryya Gangopadhyay, Seyed H. Mohammadi, Vandana Pu...
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
Recently, many advanced machine learning approaches have been proposed for coreference resolution; however, all of the discriminatively-trained models reason over mentions rather ...
Michael L. Wick, Aron Culotta, Khashayar Rohaniman...
Query-based web search is an integral part of many people’s daily activities. Most do not realize that their search history can be used to identify them (and their interests). I...
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...