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In this ever-changing world, information technology (IT) is a must for the survival of a company, and the functions of IT department is becoming increasingly important. The assessment of IT department is critical to understand how the department contributes to organizational and strategic goals. Because IT department performs many tasks that cannot simply(More)
MMORPGs have become extremely popular among network gamers. Despite their success, one of MMORPG's greatest challenges is the increasing use of game bots, i.e., auto-playing game clients. The use of game bots is considered unsportsmanlike and is therefore forbidden. To keep games in order, game police, played by actual human players, often patrol game zones(More)
Importance-performance analysis (IPA) is a simple but effective means of assisting practitioners in prioritizing service attributes when attempting to enhance service quality and customer satisfaction. As numerous studies have demonstrated, attribute performance and overall satisfaction have a non-linear relationship, attribute importance and attribute(More)
This paper presents an innovative neural network-based quality prediction system for a plastic injection molding process. A self-organizing map plus a back-propagation neural network (SOM-BPNN) model is proposed for creating a dynamic quality predictor. Three SOM-based dynamic extraction parameters with six manufacturing process parameters and one level of(More)
A class of population-based annealing genetic algorithms(PAGs) has been defined. One of the special designs which incorporate an annealing scheme with the normal probability density function as the neighbor generation method is proposed. We use the algorithm to solve a real world application: computer-aided drug design. Using a dihydrofolate reductase(More)
Determining optimal process parameter settings critically influences productivity, quality, and cost of production in the plastic injection molding (PIM) industry. Previously, production engineers used either trial-and-error method or Taguchi's parameter design method to determine optimal process parameter settings for PIM. However, these methods are(More)
Having received considerable interest in recent years, associative classification has focused on developing a class classifier, with lesser attention paid to the probability classifier used in direct marketing. While contributing to this integrated framework, this work attempts to increase the prediction accuracy of asso-ciative classification on class(More)