Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Smartphones connected to cellular networks are increasingly being used to access Internet-based services. Using data collected from smartphones running a popular location-based app...
Sipat Triukose, Sebastien Ardon, Anirban Mahanti, ...
One of the most challenging issues in managing the large and diverse data available on the World Wide Web is the design of interactive systems to organize and represent information...
Knowledge extraction from data volumes of ever increasing size requires ever more flexible tools to facilitate interactive query. Interactivity enables real-time hypothesis testin...
Kenny Gruchalla, Mark Rast, Elizabeth Bradley, Joh...