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HUC
2009
Springer
15 years 2 months ago
Discovering semantically meaningful places from pervasive RF-beacons
Detecting visits to semantically meaningful places is important for many emerging mobile applications. We present PlaceSense, a place discovery algorithm suitable for mobile devic...
Donnie H. Kim, Jeffrey Hightower, Ramesh Govindan,...
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
14 years 7 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
ICDE
2011
IEEE
245views Database» more  ICDE 2011»
14 years 1 months ago
Discovering popular routes from trajectories
—The booming industry of location-based services has accumulated a huge collection of users’ location trajectories of driving, cycling, hiking, etc. In this work, we investigat...
Zaiben Chen, Heng Tao Shen, Xiaofang Zhou
ADBIS
2000
Springer
111views Database» more  ADBIS 2000»
15 years 2 months ago
Discovering Frequent Episodes in Sequences of Complex Events
Data collected in many applications have a form of sequences of events. One of the popular data mining problems is discovery of frequently occurring episodes in such sequences. Eff...
Marek Wojciechowski
ICSM
2007
IEEE
15 years 4 months ago
Discovering Dynamic Developer Relationships from Software Version Histories by Time Series Segmentation
Time series analysis is a promising approach to discover temporal patterns from time stamped, numeric data. A novel approach to apply time series analysis to discern temporal info...
Harvey P. Siy, Parvathi Chundi, Daniel J. Rosenkra...