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WMCSA
2003
IEEE
13 years 10 months ago
Proximity Mining: Finding Proximity using Sensor Data History
Emerging ubiquitous and pervasive computing applications often need to know where things are physically located. To meet this need, many locationsensing systems have been develope...
Toshihiro Takada, Satoshi Kurihara, Toshio Hirotsu...
WWW
2010
ACM
13 years 12 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
14 years 2 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
ADHOCNOW
2010
Springer
13 years 6 months ago
Coverage-Adaptive Random Walks for Fast Sensory Data Collection
Random walks in wireless sensor networks can serve as fully local, very simple strategies for sink motion that reduce energy dissipation a lot but increase the latency of data coll...
Constantinos Marios Angelopoulos, Sotiris E. Nikol...
KDD
2012
ACM
257views Data Mining» more  KDD 2012»
11 years 7 months ago
Aggregating web offers to determine product prices
Historical prices are important information that can help consumers decide whether the time is right to buy a product. They provide both a context to the users, and facilitate the...
Rakesh Agrawal, Samuel Ieong