Our primary aim, in this paper, is to propose and investigate, for the first time, the application of Data Envelopment Analysis (DEA) technique in assessing Iranian public universities. We provide an analysis on the importance of the stakeholder’s perspective on the structure of DEA and the variations of efficiency results. For illustrations, we perform efficiency analysis on a sample of public...

Feature selection is one of key issues related with data pre-processing of classification task in a data mining process. Although many efforts have been done to improve typical feature selection algorithms (FSAs), such as filter methods and wrapper methods, it is hard for just one FSA to manage its performances to various datasets. To above problems, we propose another way to support feature se...

Qualitative input is encountered in many real decision-making domains. Often such domains include tradeoffs among multiple attributes, and estimates of parameters are often expressed with some degree of uncertainty. Grey related analysis has been proposed as a means to use interval fuzzy representation of data. When dealing with multiple criteria data, model parameters that can involve uncertai...

Data Grid supports data-intensive applications in a large scale grid environment. It makes use of storage systems as distributed data stores by replicating contents. On the co-allocation architecture, the client can divide a file into k blocks of equal size and download the blocks dynamically from multiple servers by GridFTP in parallel. But the drawback is that faster servers must wait for the...

A well-known challenge in data warehousing is the efficient incremental maintenance of warehouse data in the presence of source data updates. In this paper, we identify several critical data representation and algorithmic choices that must be made when developing the machinery of an incrementally maintained data warehouse. For each decision area, we identify various alternatives and evaluate th...

This study addresses the problem of finding the range of efficiency for each Decision Making Unit (DMU) considering uncertain data. Uncertainty in the DMU coefficients in each factor (input or output) is captured through interval coefficients (i.e., these are uncertain but bounded). A twophase additive Data Envelopment Analysis (DEA) model for performance evaluation is used, which is adapted to...

The amount of data stored by banks is rapidly increasing and provides the opportunity for banks to conduct predictive analytics and enhance its businesses. However, data scientists are facing large challenges, handling the massive amount of data efficiently and generating insights with real business value. In this paper, the Intelligent Customer Analytics for Recognition and Exploration (iCARE)...

This paper deals with Radio Link Control protocol (RLC) in UMTS mobile network. It describes in brief the RLC protocol, its functions, properties, parameters, data structure and functional modes. In detail this study reports the acknowledged mode SDU discard procedure and its effect on the protocol performance. For the purpose of monitoring behavior of two RLC entities and performance evaluatio...