Categorical outcome (or discrete outcome or qualitative response) regression models are models for a discrete dependent variable recording in which of two or more categories an outcome of interest lies. For binary data (two categories) probit and logit models or semiparametric methods are used. For multinomial data (more than two categories) that are unordered, common models are multinomial and...

We propose Hercules, a parallel tree-based technique for exact similarity search on massive disk-based data series collections. present novel index construction and query answering algorithms that leverage different summarization techniques, carefully schedule costly operations, optimize memory disk accesses, exploit the multi-threading SIMD capabilities of modern hardware to perform CPU-intens...

Big data time series data streams are ubiquitous in finance, meteorology and engineering. It may be impossible to process an entire “big data” continuous data stream or to scan through it multiple times due to its tremendous volume. In Heraclitus’s well-known saying, “you never step in the same stream twice,” and so it is with “big data” temporal data streams. Unlike traditional data sets, big ...