Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
During the past few years, several studies have been made on the performance of real-time database systems with respect to the number of transactions that miss their deadlines. Th...
1 Profile Hidden Markov Models (profile HMMs) are used as a popular bioinformatics tool for sensitive database searching, e.g. a set of not annotated protein sequences is compared...
We have investigated the performance of a hidden Markov model QBH retrieval system on a large musical database. The database is synthetic, generated from statistics gleaned from o...
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...