Sharda and Delen describe the widely publicized and very successful model they have created to predict the financial performance of a movie before its release to the theaters. Based on neural networks, the model attempts to classify a movie into one of nine categories, ranging from a "flop' to a...

Today's organisations are collecting and storing massive amounts of data from their customer transactions and e-commerce/e-business applications. Many classification algorithms are not scalable to work effectively and efficiently with these very large datasets. This study constructs a new...

Predicting the outcome of a college football game is an interesting and challenging problem. Most previous studies have concentrated on ranking the bowl-eligible teams according to their perceived strengths, and using these rankings to predict the winner of a specific bowl game. In this study,...

Inaccuracy in the information system inventory as compared to the physical inventory may lead to out of stocks. Inaccuracy may occur for many reasons, a principal one being random losses such as theft. One way to reduce this inaccuracy is to adjust the inventory information in the systems at...

This paper presents multiperiod, multiple objective goal programming as an alternative to the more conventional hedge ratio approaches to financial futures hedging. The described model offers the potential benefits of: (i) simultaneous achievement of multiple hedge-related objectives (i.e.,...