Open AccessSimulating the inconsistencies of Google Trends data
Author(s) -
Eduardo Cebrián,
Josep Domènech
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.4995/carma2022.2022.15093
Subject(s) - popularity , computer science , sampling (signal processing) , term (time) , measure (data warehouse) , index (typography) , series (stratigraphy) , volume (thermodynamics) , sample (material) , process (computing) , data mining , search engine , sampling error , information retrieval , statistics , world wide web , mathematics , observational error , psychology , social psychology , paleontology , chemistry , physics , filter (signal processing) , chromatography , quantum mechanics , biology , computer vision , operating system