Stock trend forecasting is a one of the main factors in choosing the best investment, hence prediction and comparison of different firms’ stock trend is one method for improving investment process. Stockholders need information for forecasting firm’s stock trend in order to make decision about firms’ stock trading. In this study stock trend, forecasting performs by data mining algorithm. It sho...

in recent years, various time series models have been proposed for financial markets forecasting. in each case, the accuracy of time series forecasting models are fundamental to make decision and hence the research for improving the effectiveness of forecasting models have been curried on. many researchers have compared different time series models together in order to determine more efficient ...

This paper presents a new combined forecasting method that is guided by the soft set theory (CFBSS) to predict business failures with different sample sizes. The proposed method combines both qualitative analysis and quantitative analysis to improve forecasting performance. We considered an expert system (ES), logistic regression (LR), and support vector machine (SVM) as forecasting components ...

Through a series of studies, involving over 400 companies over 20 years, the University of Tennessee Sales Forecasting Research Team has developed a vision of world-class forecasting. This presentation will articulate that vision, and participants will leave with a framework for benchmarking their own forecasting processes. Specifically, attendees will learn: • What forecasting excellence consi...

three combination methods commonly used in tourism forecasting are the simple average method, the variance-covariance method and the discounted msfe method. these methods assign the different weights that can not change at each time point to each individual forecasting model. in this study, we introduce the iowga operator combination method which can overcome the defect of previous three combin...

An organization needs to develop a forecasting system involving several approaches to predicting uncertain events. Such forecasting systems require the development of expertise in identifying forecasting problems, applying a range of forecasting methods, selecting appropriate methods for each problem, and evaluating and refining forecasting methods over time. It is also important to have strong...

b s t r a c t The central role of information processing in banking leads to an expectation that banking and finance companies will be strongly affected by technological innovation in general and applications of information and communications technologies (IT) in particular. This research reviews those effects on banking organizations with reference to front-office or external changes (product ...

Science Fiction Prototyping (SFP) has a lot of potential as a tool to help turn patents into innovative marketable products. The underlying assumption of this paper is that many patents from research institutions and corporations alike lie idle when it comes to their actual realization and commercialization as real products. The conceptual paper focuses on patents that are already applicationce...

Maintenance scheduling for high value assets has been studied for decades and is still a crucial area of research with new technological advancements. The main dilemma of maintenance scheduling is to avoid failures while preventing unnecessary maintenance. The technological advancements in real time monitoring and computational science make tracking asset health and forecasting asset failures p...