Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
For a large-scale data-intensive environment, such as the World-Wide Web or data warehousing, we often make local copies of remote data sources. Due to limited network and computa...
Abstract. In the last decade, several large-scale wireless sensor networks have been deployed to monitor a variety of environments. The declarative nature of the database approach ...
Daniel Jacobi, Pablo Ezequiel Guerrero, Khalid Naw...
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Complex Event Processing (CEP) Systems are stream processing systems that monitor incoming event streams in search of userspecified event patterns. While CEP systems have been ad...
Yeye He, Siddharth Barman, Di Wang, Jeffrey F. Nau...