Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:computer_scientist
|
| gptkbp:almaMater |
gptkb:Carnegie_Mellon_University
|
| gptkbp:field |
gptkb:machine_learning
ubiquitous computing sensor data analysis location privacy |
| gptkbp:hasPatent |
US Patent 7,113,867 - System and method for predicting travel time using location data
US Patent 7,366,665 - System and method for predicting travel time using location data |
| gptkbp:hasWorkedWith |
gptkb:Microsoft_Research
|
| https://www.w3.org/2000/01/rdf-schema#label |
John Krumm
|
| gptkbp:nationality |
gptkb:American
|
| gptkbp:notableWork |
editor of UbiComp conference proceedings
research on location privacy |
| gptkbp:publishedIn |
Predestination: Inferring Destinations from Partial Trajectories
A Survey of Computational Location Privacy Inference Attacks on Location Tracks Learning Time-Distance Maps from GPS Traces Obfuscating GPS Drawings Privacy and Computing: A Data-Driven Approach Realistic driving trips for location privacy A survey of location privacy techniques in location-based services |
| gptkbp:bfsParent |
gptkb:Squeezy_Belly_Alley
|
| gptkbp:bfsLayer |
7
|