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CLOUD
2010
ACM
14 years 22 days ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
EDBT
2009
ACM
166views Database» more  EDBT 2009»
14 years 9 days ago
Neighbor-based pattern detection for windows over streaming data
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward
CHI
1997
ACM
13 years 12 months ago
Computational Models of Information Scent-Following in a Very Large Browsable Text Collection
An ecological-cognitive framework of analysis and a model-tracing architecture are presented and used in the analysis of data recorded from users browsing a large document collect...
Peter Pirolli
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
14 years 8 months ago
Generative model-based clustering of directional data
High dimensional directional data is becoming increasingly important in contemporary applications such as analysis of text and gene-expression data. A natural model for multivaria...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
ICASSP
2011
IEEE
12 years 11 months ago
Bilingual audio-subtitle extraction using automatic segmentation of movie audio
Extraction of bilingual audio and text data is crucial for designing Speech to Speech (S2S) systems. In this work, we propose an automatic method to segment multilingual audio str...
Andreas Tsiartas, Prasanta Kumar Ghosh, Panayiotis...