We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
Mobile and pervasive applications frequently rely on devices such as RFID antennas or sensors (light, temperature, motion) to provide them information about the physical world. Th...
Nodira Khoussainova, Magdalena Balazinska, Dan Suc...
Pattern discovery in sequences is an important problem in many applications, especially in computational biology and text mining. However, due to the noisy nature of data, the tra...
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...