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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
15 years 11 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
KDD
2009
ACM
217views Data Mining» more  KDD 2009»
15 years 11 months ago
Efficient anomaly monitoring over moving object trajectory streams
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
14 years 9 months ago
Using data mining techniques to address critical information exchange needs in disaster affected public-private networks
Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities. A critical problem in a crisis situation is how t...
Li Zheng, Chao Shen, Liang Tang, Tao Li, Steven Lu...
RECSYS
2009
ACM
15 years 5 months ago
FriendSensing: recommending friends using mobile phones
We propose FriendSensing, a framework that automatically suggests friends to mobile social-networking users. Using short-range technologies (e.g., Bluetooth) on her mobile phone, ...
Daniele Quercia, Licia Capra
DASFAA
2007
IEEE
156views Database» more  DASFAA 2007»
15 years 2 months ago
An Efficient and Scalable Management of Ontology
Abstract. OWL is a recommended language for publishing and sharing ontologies on the Semantic Web. To manage the ontologies, several OWL data management systems have been proposed....
Myung-Jae Park, Jihyun Lee, Chun-Hee Lee, Jiexi Li...