Mining over loosely coupled data sources using neural experts

Investigation on Reliability Estimation of Loosely Coupled Software as a Service Execution Using Clustered and Non-Clustered Web Server

Evaluating the reliability of loosely coupled Software as a Service through the paradigm of a cluster-based and non-cluster-based web server is considered to be an important attribute for the service delivery and execution. We proposed a novel method for measuring the reliability of Software as a Service execution through load testing. The fault count of the model against the stresses of users ...

Using Combined Descriptive and Predictive Methods of Data Mining for Coronary Artery Disease Prediction: a Case Study Approach

Heart disease is one of the major causes of morbidity in the world. Currently, large proportions of healthcare data are not processed properly, thus, failing to be effectively used for decision making purposes. The risk of heart disease may be predicted via investigation of heart disease risk factors coupled with data mining knowledge. This paper presents a model developed using combined descri...

SDQNET: Semantic Distributed Querying in Loosely Coupled Data Sources

Web communities involve networks of loosely coupled data sources. Members in those communities should be able to pose queries and gather results from all data sources in the network, where available. At the same time, data sources should have limited restrictions on how to organize their data. If a global schema is not available for such a network, query processing is strongly based on the exis...

Distributed collaborative structuring: a data mining approach to information management in loosely coupled domains

Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server

Due to the increasingly di culty of discovering patterns in real-world databases using only conventional OLAP tools, an automated process such as data mining is currently essential. As data mining over large data sets can take a prohibitive amount of time related to the computational complexity of the algorithms, parallel processing has often been used as a solution. However, when data does not...