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CLOUD
2010
ACM
15 years 2 months 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...
ICDCS
2002
IEEE
15 years 2 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
CIKM
2009
Springer
15 years 2 months ago
Low-cost management of inverted files for online full-text search
In dynamic environments with frequent content updates, we require online full-text search that scales to large data collections and achieves low search latency. Several recent met...
Giorgos Margaritis, Stergios V. Anastasiadis
CLUSTER
2000
IEEE
15 years 2 months ago
Partition Repositories for Partition Cloning - OS Independent Software Maintenance in Large Clusters of PCs
As a novel approach to software maintenance in large clusters of PCs requiring multiple OS installations we implemented partition cloning and partition repositories as well as a s...
Felix Rauch, Christian Kurmann, Thomas Stricker
DCC
2000
IEEE
15 years 2 months ago
RD-Optimization of Hierarchical Structured Adaptive Vector Quantization for Video Coding
This paper contains two contributions to very-low-bitrate video coding. First, we show that in contrast to common practice incremental techniques for rate-distortion optimization ...
Marcel Wagner, Dietmar Saupe