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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Instance Selection Using Genetic Algorithms For An Intelligent Ensemble Trading System, Youngmin Kim, David Lee Enke Oct 2017

Instance Selection Using Genetic Algorithms For An Intelligent Ensemble Trading System, Youngmin Kim, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

Instance selection is a way to remove unnecessary data that can adversely affect the prediction model, thereby selecting representative and relevant data from the original data set that is expected to improve predictive performance. Instance selection plays an important role in improving the scalability of data mining algorithms and has also proven to be successful over a wide range of classification problems. However, instance selection using an evolutionary approach, as proposed in this study, is different from previous methods that have focused on improving accuracy performance in the stock market (i.e., Up or Down forecast). In fact, we propose a …


Optimizing Macd Parameters Via Genetic Algorithms For Soybean Futures, Phoebe S. Wiles, David Lee Enke Nov 2015

Optimizing Macd Parameters Via Genetic Algorithms For Soybean Futures, Phoebe S. Wiles, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

To create profits, traders must time the market correctly and enter and exit positions at ideal times. Finding the optimal time to enter the market can be quite daunting. The soybean market can be volatile and complex. Weather, sentiment, supply, and demand can all affect the price of soybeans. Traders typically use either fundamental analysis or technical analysis to predict the market for soybean futures' contracts. Every agricultural future's contract or security contract is different in its nature, volatility, and structure. Therefore, the purpose of this research is to optimize the moving average convergence divergence parameter values from traditionally used …


Building Relationships That Last: Integrating Public Relations Into Web Design, Richard V. Mccarthy, Jay E. Aronson, Robert Petrausch Jan 2004

Building Relationships That Last: Integrating Public Relations Into Web Design, Richard V. Mccarthy, Jay E. Aronson, Robert Petrausch

Journal of International Technology and Information Management

This paper explores the relationship between web site design, public relations strategy, and a consumer’s intention to return to a web site. This relationship is defined through a model that explores the influence of information satisfaction, particularly when the web site design is congruent with the consumer’s expectations. The public relations dimension extends the consumer web site design model by interjecting a long-term focus on relationship building that organizations will need to make electronic commerce a viable investment in information technology resources. This is significant because it recognizes the importance of developing loyalty and trust online.


Online Reverse Auctions: An Overview, Ching-Chung Kuo, Pamela Rogers, Richard E. White Jan 2004

Online Reverse Auctions: An Overview, Ching-Chung Kuo, Pamela Rogers, Richard E. White

Journal of International Technology and Information Management

Electronic commerce (e-commerce) is the fastest growing area in the U.S. economy with electronic procurement (e-procurement) being a major component, and online reverse auctions (ORAs) have emerged as a key e-procurement tool. Since the mid-1990s, ORAs have been gaining in popularity because of their potentially significant positive impact on the profitability of both the buyers and the sellers. Much has been written about the new purchasing paradigm and numerous stories have been reported recently. This paper is aimed at providing a critical review of ORAs by examining their historical developments, different forms, advantages, and disadvantages. In addition, 10 important factors …