C4.5: programs for machine learning
C4.5: programs for machine learning
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Modern Operating Systems
Machine Learning
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User oriented Quality of Service (QoS) of On-Line Transaction Processing (OLTP) systems (or Data Warehouse (DW)) is determined with a response time, availability, consistency and currency. In this paper we consider the influence of the system load and the system throughput on the response time, as well as a possibility of the accurate response time prediction - whereby that mechanism may be a foundation for (automatized) decision-making for a query (or DB procedure) scheduling. The possible application of proposed method can be the estimation of the optimal moment for the data transfer from OLTP system into DW or the appropriate moment for the complex query execution.