We propose an algorithm, MusicBLAST, for approximate pattern search/matching on symbolic musical data. MusicBLAST is based on the BLAST algorithm, one of the most commonly used al...
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
— We consider the problem of processing exact results for sliding window joins over data streams with limited memory. Existing approaches deal with memory limitations by shedding...
Proxy caches have become a central mechanism for reducing the latency of web document retrieval. While caching alone reduces latency for previously requested documents, web docume...
Social media are becoming increasingly popular and have attracted considerable attention from spammers. Using a sample of more than ninety thousand known spam Web sites, we found ...