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People nowadays share large amounts of data online, explicitly or implicitly. Analysis of such data can detect useful behavior patterns of varying natures and scales, from mass immigration between continents to trendy venues in a city in turn. Detecting these patterns can be used for improving online services. However, capturing behavior patterns may be challenging, since such patterns are often of a specialized essence, no benchmark or labeled data exist, and it is not even clear how todoi:10.1145/2926693.2929901 dblp:conf/sigmod/Kravi16 fatcat:46qluknmbjdl5g443yljsurov4