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Regression analysis is one of the components of data mining techniques. Various regression algorithms have been proposed to mine the data efficiently and to propose a suitable business model. Every algorithm caters to a particular need and not necessarily produces the best fit futuristic model for all types of data. On the other hand, todays Web is expanding rapidly and affecting all aspects of our...
The goal of this research is to identify the significant factors affecting the firm performance and estimate the system behavior in different operating conditions. By determining the statistical relations of the productivity and effectiveness of the firm with these factors, a decision-making framework can be provided to improve the system performance within the competitive strategy of the whole supply...
Decision making under uncertainty is a critical problem in the field of software engineering. Predicting the software quality or the cost/ effort requires high level expertise. AI based predictor models, on the other hand, are useful decision making tools that learn from past projects' data. In this study, we have built an effort estimation model for a multinational bank to predict the effort prior...
The Remaining Useful Life(RUL) prediction of the equipment plays a significant role in maintenance management. The accurate RUL prediction based on the current and previous health condition of the equipment is essential to make a timely maintenance decision for failure avoidance. In this paper, we presented a novel RUL forecasting method of Proportional Hazards Model (PHM) assembled with Support Vector...
This paper employs data warehouse theory, theory of decision support system, and the ASP.Net technology to implement the power marketing DSS (decision-making support system) and put forward the realization of entire system architecture. In the data layer, various data from applications which are running for the power business are integrated to establish the data warehouse, and then we build the multi-dimensional...
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