traditional leveraging statistical methods for analyzing today’s large volumes of spatial data have high computational burdens. to eliminate the deficiency, relatively modern data mining techniques have been recently applied in different spatial analysis tasks with the purpose of autonomous knowledge extraction from high-volume spatial data. fortunately, geospatial data is considered a proper s...

Space and time are two critical components of many real world systems. For this reason, analysis of anomalies in spatiotemporal data has been a great of interest. In this work, application of tensor decomposition and eigenspace techniques on spatiotemporal hotspot detection is investigated. An algorithm called SST-Hotspot is proposed which accounts for spatiotemporal variations in data and dete...

The barley leaf rust has been important in recent years in Iran. In order to identify the genetic resources of resistance to this disease, 207 Iranian barley landraces were studied. The germplasms were investigated at the field of Iraqi-Mahalleh research station in Gorgan as the disease hotspot under natural incidence over three years. The results showed that four genotypes including KC18638 an...

We present a socio-technical analysis of security of Hotspot and Hotspot 2.0. The analysis focuses is user-centric, and aim at understanding which user action can compromise security in presence of a attacker. We identify research questions about possible factors that may affect user’s security decisions, and propose experiments to answer them.

PURPOSE To assess the feasibility of identifying patients with (atypical) MUTYH-associated polyposis (MAP) by KRAS2 c.34G > T prescreening followed by MUTYH hotspot mutation analysis in formalin-fixed paraffin-embedded tissue (FFPE). METHODS We collected 210 colorectal FFPE tumors from 192 individuals who presented with <10 adenomas or familial mismatch repair proficient colorectal carcinomas...

To master the hotspot information of E-government public opinion macroscopically, and so that the government can provide more target-oriented information and services for the public. A method for calculating the public concern degree of E-government public opinion is proposed in this paper. In this method, two indices that can reflect the hotspot information of public opinion to a certain degre...

Statistical analysis of the global hotspot distribution is made and current state-of-the-art of the theory of mantle plumes is discussed. Both the fractal dimension analysis and the spherical harmonic correlation are performed to infer some constraints on possible hotspots and mantle plumes sources. Such a joint analysis suggests a compound model, in which the upper mantle exerts strong influen...

Abstract: There is a continuing determination by academics and road professionals alike to investigate the most appropriate methods for identifying road accident hotspots particularly in urban areas. Increasingly this research has involved the use of GIS and spatial analysis in order to define both visually and statistically what can be defined as a road accident hotspot. Traditional methods of...