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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 10 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
HPDC
2010
IEEE
13 years 11 months ago
Detouring and replication for fast and reliable internet-scale stream processing
iFlow is a replication-based system that can achieve both fast and reliable processing of high volume data streams on the Internet scale. iFlow uses a low degree of replication in...
Christopher McConnell, Fan Ping, Jeong-Hyon Hwang
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
12 years 17 days ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
ICDCS
2010
IEEE
14 years 2 months ago
A Hybrid Approach to High Availability in Stream Processing Systems
Abstract—Stream processing is widely used by today’s applications such as financial data analysis and disaster response. In distributed stream processing systems, machine fail...
Zhe Zhang, Yu Gu, Fan Ye, Hao Yang, Minkyong Kim, ...
CORR
2010
Springer
148views Education» more  CORR 2010»
13 years 10 months ago
Low Rate Sampling of Pulse Streams with Application to Ultrasound Imaging
Signals comprised of a stream of short pulses appear in many applications including bio-imaging, radar, and ultrawideband communication. Recently, a new framework, referred to as f...
Ronen Tur, Yonina C. Eldar, Zvi Friedman