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SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
15 years 1 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 2 months ago
Intrusion as (anti)social communication: characterization and detection
A reasonable definition of intrusion is: entering a community to which one does not belong. This suggests that in a network, intrusion attempts may be detected by looking for com...
Qi Ding, Natallia Katenka, Paul Barford, Eric D. K...
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
15 years 5 months ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar
IPMU
2010
Springer
15 years 4 months ago
Plateau Regions: An Implementation Concept for Fuzzy Regions in Spatial Databases and GIS
Abstract. Many geographical applications need to model spatial phenomena with vague or indeterminate boundaries and interiors. A popular paradigm adopted by the GIS community for t...
Virupaksha Kanjilal, Hechen Liu, Markus Schneider
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 8 days ago
Cost-effective outbreak detection in networks
Given a water distribution network, where should we place sensors to quickly detect contaminants? Or, which blogs should we read to avoid missing important stories? These seemingl...
Andreas Krause, Carlos Guestrin, Christos Faloutso...