The purpose of this paper is to analyze the optimal scale of local jurisdictions (cantons) in Switzerland applying Data Envelopment Analysis (DEA) to the years 2000 to 2004. Aggregate output performance indicators for four local government activities (administration, education, health, and transportation) are used to measure technical and scale efficiency and to derive DEA scores. Results show ...

We are developing an artificial stock market model with investor agents in order to analyze characteristics of a market price. In this paper, we analyze the effects of agent’s reaction rate to technical indicators in a financial market. Intensive experiments have suggested that trend follow investor tends to change his reaction rate frequently to increase his wealth. Moreover, we could get posi...

It is difficult to find out which is more effective and accurate method for stock rate prediction so that a buy or sell signal can be generated for given stocks. This paper presents a number of technical indicators and Back Propagation Neural Network to predict the stock price of the day. Stock rate prediction accuracy of different technical indicators and backpropagation neural network has bee...

This paper introduces an innovative approach for more factual, evidence-based and accountable policy analysis and evaluation, based on open public data, prosperity indicators, fuzzy cognitive maps and argumentation technology. The approach is inspired by the Policy Compass FP7 project and assumes to make better use of Europe’s open public data resources, so as to enable both the lay public and ...

Managing technical debt effectively to prevent it from accumulating too quickly is of great concern to software stakeholders. To pay off technical debt regularly, software developers must be conscious of the existence of technical debt items. The first step is to make technical debt explicit; that is the identification of technical debt. Although there exist many kinds of static source code ana...