Hyperspectral sensors provide a large number of spectral bands. This massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. Therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. We propose to use overlap-based feature weigh...

Event Detection Identifying patterns of interest in large temporal datasets Spatial Scan Statistic A method for identifying hotspots in spatial data, widely used in epidemiology and biosurveillance Scoring Function An objective function that measures the anomalousness of a subset of data LTSS Linear-time subset scanning Time to Detect Evaluation metric; time delay before detecting an event Over...

background: knowing the rate of overlapping in results obtained from information retrieval tools is important to prevent waste of time. medical and health-related information has an outstanding place among the variety of information available on the internet. hence, this research aimed to study the rate of overlap among medical search results derived from mesh (medical subject headings) in gene...