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...
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...
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...
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...
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 ...