A number of similarity metrics have been used to measure the degree of web page changes in the literature. When a web page changes, the metrics often represent the change different...
An important database primitive for commonly used feature databases is the similarity join. It combines two datasets based on some similarity predicate into one set such that the n...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
Abstract. In this paper, an efficient strategy for mining top-K non-trivial faulttolerant repeating patterns (FT-RPs in short) with lengths no less than min_len from data sequences...
Outlier analysis is an important task in data mining and has attracted much attention in both research and applications. Previous work on outlier detection involves different type...
Wen Jin, Yuelong Jiang, Weining Qian, Anthony K. H...
straction for Information Management Michael Franklin University of California, Berkeley Alon Halevy Google Inc. and U. Washington David Maier Portland State University The develo...
Abstract. As networks continue to grow in size and complexity, distributed network monitoring and resource querying are becoming increasingly difficult. Our aim is to design, build...
In this paper we present a quality model highlighting the completeness of sensor data with respect to its application. The model allows consistent handling of information loss as d...
There is much interest in the processing of data streams for applications in the fields such as financial analysis, network monitoring, mobile services, and sensor network manage...