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SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
16 years 3 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 6 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
SDM
2008
SIAM
176views Data Mining» more  SDM 2008»
15 years 7 months ago
A General Model for Multiple View Unsupervised Learning
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang
CODASPY
2012
14 years 2 months ago
Towards end-to-end secure content storage and delivery with public cloud
Recent years have witnessed the trend of leveraging cloudbased services for large scale content storage, processing, and distribution. Security and privacy are among top concerns ...
Huijun Xiong, Xinwen Zhang, Danfeng Yao, Xiaoxin W...
SIGIR
2006
ACM
16 years 12 days ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi