We introduce a network-based problem detection framework for distributed systems, which includes a data-mining method for discovering dynamic dependencies among distributed servic...
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Chen-Yuan Ch...
In the paper, an e cient image database system is developed. The most important features of the proposed system include compressed domain indexing, searching by using scalable fea...
In this paper, we consider the problem of keyword query cleaning for structured databases from a probabilistic approach. Keyword query cleaning consists of rewriting the user quer...
The Apriori algorithm is a fundamental correlation-based data mining kernel used in a variety of fields. The innovation in this paper is a highly parallel custom architecture impl...