In recent years, many emerging database applications deal with large sets of continuously moving data objects. Since no computer system can commit continuously occurring infinitesi...
—Anomaly detection is an important challenge for tasks such as fault diagnosis and intrusion detection in energy constrained wireless sensor networks. A key problem is how to min...
Sutharshan Rajasegarar, Christopher Leckie, Marimu...
The paper presents an extended version of the SuperMatrix system -- a general tool supporting automatic acquisition of lexical semantic relations from corpora. Extensions focus mai...
Standard algorithms for association rule mining are based on identification of frequent itemsets. In this paper, we study how to maintain privacy in distributed mining of frequen...
Computer users deal with large amount of personal media data and they often face problems in managing and exploring them. The paper presents an innovative approach, Semantic Regio...