In this paper we present the case study on application of data mining techniques like clustering, regression and scoring with heuristic measures for the largest social event prognosis based on spatiotemporal data. The aim of this analysis is to propose the methodology that bases on archival records and is capable to predict the place where the largest social event will take place and who will be a host (organizer) of it. For this goal we utilize the part of geocaching community data. The dataset we used is consisted of 755 events that happened from 2010-01-30 to 2015-09-05 in Poland organized by 282 distinct users. Basing on archival data of past four years we were capable to indicate not only the region in which the biggest event took place but also its host and its place within range of 700 meters. Our new algorithm and its application to geocaching events data is main novelty of this paper.
['Tomasz Hachaj', 'Paweł S. Hachaj', 'Marek R. Ogiela']
A Novel Approach to Geocaching Event Prognosis Using Spatiotemporal Data