Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
We describe our initial investigations into generating textual summaries of spatiotemporal data with the help of a prototype Natural Language Generation (NLG) system that produces...
Ross Turner, Somayajulu Sripada, Ehud Reiter, Ian ...
Similarity search leveraging distance-based index structures is increasingly being used for both multimedia and biological database applications. We consider distance-based indexi...
Rui Mao, Weijia Xu, Smriti R. Ramakrishnan, Glen N...
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
: We propose a wavelet multiscale decomposition based autoregressive approach for the prediction of one-hour ahead ahead load based on historical electricity load data. This approa...
D. Benaouda, Fionn Murtagh, Jean-Luc Starck, O. Re...