Frequent Patterns Analysis using Apriory: A Survey
In applications such as location-based services, natural habitat monitoring, web data integration, and biometric applications, the values of the underlying data are inherently noisy or imprecise. Consider a location-based application that provides querying facilities on geographical objects (e.g., airports, vehicles, and people) extracted from satellite images. Due to the errors incurred during satellite image transmission, the locations of the geographical objects can be imprecise. The data acquired from the Global Positioning System (GPS) and remote sensors can also be inaccurate and outdated, due to measurement error and network delay.