In this paper we present a new approach for network intrusion detection based on concise speciļ¬cations that characterize normal and abnormal network packet sequences. Our speciļ...
Statistical Rate Monotonic Scheduling (SRMS) is a generalization of the classical RMS results of Liu and Layland [LL73] for periodic tasks with highly variable execution times and...
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
The standard SQL assumes that the users are aware of all tables and their schemas to write queries. This assumption may be valid when the users deal with a relatively small number...
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...