In this study, performance of classification techniques is compared in order to predict dividend policy decisions. We first analyzed the feasibility of all available companies listed in the Korea Exchange (KRX) market as dividend data sets by using classification techniques. Then we developed a prediction model based on support vector machines (SVM). We compare the classification accuracy perfo...

In process-driven software development environment, process management plays an important role during the process execution. In order to achieve effective management of sofiivare processes, managerial decision makings on development process need to be based on the analysis of the software processes regarding the development environment. In this paper we propose a new approach to process managem...

The report attempts to deliver a proof of concept that optimal planning and management strategies can be formulated through applying robust optimization methodology such that limited resources could be allocated more rationally, and reliability of a highway network improved more efficiently. The report focuses on two applications: the network design problem under demand uncertainty, and fleet a...

In order to provide more precise decision-makings for agricultural producers, an intelligent forecasting system is proposed for agricultural applications in this paper, which processes data stream collected from agricultural environment applying WSN (Wireless Sensor Network) technology. Sensor data stream is different from other traditional stream, the former is characterized by real-time, sequ...

Bochum, Germany, pages 899 904, 1996. Con uent Preorder Parser As A Finite State Automata HO, Kei Shiu Edward CHAN, Lai Wan Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong email: [email protected], [email protected] Abstract. We present the Con uent Preorder Parser (CPP) in which syntactic parsing is achieved via a holistic tra...

In data warehousing, Extract-Transform-Load (ETL) extracts the data from data sources into a central data warehouse regularly for the support of business decision-makings. The data from transaction processing systems are featured with the high frequent changes of insertion, update, and deletion. It is challenging for ETL to propagate the changes to the data warehouse, and maintain the change hi...

Due to the rapid development of computers and their applications, early software quality prediction in software industry becomes more and more crucial. Software quality prediction model is very helpful for decision-makings such as the allocation of resource in module verification and validation. Nevertheless, due to the complicated situations of software development process in the early stage, ...

When conducting location-based decision makings, people often rely on geospatial cognition to the real space than the exact physical distance in the real world. In fact, distance based on people’s geospatial cognition is useful in many respects of urban life. In this paper, we measure psychological proximity of urban areas by borrowing crowd’s experiences easily available from location-based so...

There are two different basic advertising strategies, namely, enlarging the market coverage and improving penetration. Efforts in first (coverage) strategy can be seen as handing out leaflets, board huge-crowd acquisition. second (penetration) product quality, service environment positive word-of-mouth. Which one is more efficient, or penetration? How do firm trade-off between strategies? By es...