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Université de Fribourg

Histosketch: fast similarity-preserving sketching of streaming histograms with concept drift

Yang, Dingqi ; Li, Bin ; Rettig, Laura ; Cudré-Mauroux, Philippe

In: 2017 IEEE International Conference on Data Mining (ICDM), 2017, p. 545–554

Histogram-based similarity has been widely adopted in many machine learning tasks. However, measuring histogram similarity is a challenging task for streaming data, where the elements of a histogram are observed in a streaming manner. First, the ever-growing cardinality of histogram elements makes any similarity computation inefficient. Second, the concept-drift issue in the data streams also...

Université de Fribourg

CrimeTelescope: crime hotspot prediction based on urban and social media data fusion

Yang, Dingqi ; Heaney, Terence ; Tonon, Alberto ; Wang, Leye ; Cudré-Mauroux, Philippe

In: World Wide Web, 2017, p. 1–25

Crime is a complex social issue impacting a considerable number of individuals within a society. Preventing and reducing crime is a top priority in many countries. Given limited policing and crime reduction resources, it is often crucial to identify effective strategies to deploy the available resources. Towards this goal, crime hotspot prediction has previously been suggested. Crime hotspot...

Université de Fribourg

POIsketch: Semantic Place Labeling over User Activity Streams

Yang, Dingqi ; Li, Bin ; Cudré-Mauroux, Philippe

In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16)