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CORR
2008
Springer
192views Education» more  CORR 2008»
13 years 6 months ago
Anomaly Detection in Streaming Sensor Data
In this chapter we consider a cell phone network as a set of automatically deployed sensors that records movement and interaction patterns of the population. We discuss methods fo...
Alec Pawling, Ping Yan, Julián Candia, Timo...
GIS
2010
ACM
13 years 6 months ago
Finding similar users using category-based location history
In this paper, we aim to estimate the similarity between users according to their GPS trajectories. Our approach first models a user’s GPS trajectories with a semantic location ...
Xiangye Xiao, Yu Zheng, Qiong Luo, Xing Xie
SCIENTOMETRICS
2010
158views more  SCIENTOMETRICS 2010»
13 years 5 months ago
Rete-netzwerk-red: analyzing and visualizing scholarly networks using the Network Workbench Tool
The enormous increase in digital scholarly data and computing power combined with recent advances in text mining, linguistics, network science, and scientometrics make it possible...
Katy Börner, Weixia Huang, Micah Linnemeier, ...
TKDE
2010
137views more  TKDE 2010»
13 years 5 months ago
A Survey on Transfer Learning
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
Sinno Jialin Pan, Qiang Yang
VLDB
2010
ACM
144views Database» more  VLDB 2010»
13 years 5 months ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou