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KDD
2005
ACM
181views Data Mining» more  KDD 2005»
14 years 6 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
KDD
2010
ACM
208views Data Mining» more  KDD 2010»
13 years 4 months ago
Towards mobility-based clustering
Identifying hot spots of moving vehicles in an urban area is essential to many smart city applications. The practical research on hot spots in smart city presents many unique feat...
Siyuan Liu, Yunhuai Liu, Lionel M. Ni, Jianping Fa...
INFOSCALE
2006
ACM
14 years 8 days ago
PENS: an algorithm for density-based clustering in peer-to-peer systems
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and v...
Mei Li, Guanling Lee, Wang-Chien Lee, Anand Sivasu...
ECUMN
2007
Springer
13 years 8 months ago
Towards Sensor Integration into Multimedia Applications
Since few years, several applications are proposed on mobile devices. However, these applications are not aware of their physical environment. The emergence of wireless sensors, a...
Christine Louberry, Philippe Roose, Marc Dalmau
PKDD
2005
Springer
164views Data Mining» more  PKDD 2005»
13 years 11 months ago
Clustering and Prediction of Mobile User Routes from Cellular Data
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
Kari Laasonen