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...

We study the decidability of Skolem Problem, Positivity and Ultimate Problem for linear recurrences with real number initial values coefficients in bit-model computation. show that each problem there exists a correct partial algorithm which halts all instances answer is locally constant, thus establishing three problems are as close to decidable one can expect them be this setting. further algo...

Background: Today, in healthcare field that is changing rapidly, decision-makers encounter with ever-increasing inquiries on clinical and administrative information to realize customers’ legal and clinical requirements. Therefore, making decisions on healthcare has changed into a vital, complex and unstructured issue. The present paper mainly focuses on describing decisionmaking advantages, pos...

Public health emergencies are more related to the safety and of public. For management public emergencies, all parties’ cooperation is key preventing controlling emergencies. Based on assumption bounded rationality, we formulate a tripartite evolutionary game model, involving local government, enterprises, public, for emergency, e.g., COVID-19. The stable strategies under different conditions e...

Due to the opacity of machine learning technology, there is a need for explainability and fairness in decision support systems used public or private organizations. Although criteria appropriate explanations fair decisions change depending on values those who are affected by decisions, lack discussion framework consider outputs each stakeholder. In this paper, we propose that call “stakeholder-...

We consider a learning problem where the decision maker interacts with a standard Markov decision process, with the exception that the reward functions vary arbitrarily over time. We show that, against every possible realization of the reward process, the agent can perform as well—in hindsight—as every stationary policy. This generalizes the classical no-regret result for repeated games. Specif...