Titlebook: Innovating in a Learning Community; Emergence of an Open Kai Reimers,Xunhua Guo,Tiantian Zhang Book 2014 The Author(s) 2014 Government acti

precede

of approaches construct a forecasting model by treating the process variables (not the output or target variables) called “factors” as the model inputs, rather than the auto-regression mode used in time series version. To select the factors from lots of candidates, this chapter firstly introduces s

耐寒

完成才能战胜

Kai Reimers,Xunhua Guo,Mingzhi Li,Bin Xie,Tiantian Zhang handle imported event log files that fit in the computer’s memory. Once data files get bigger, scalability quickly drops since the speed required to access the data becomes a limiting factor. This paper proposes a new technique based on relational database technology as a solution for scalable proc

狂热语言

安慰

Kai Reimers,Xunhua Guo,Mingzhi Li,Bin Xie,Tiantian Zhang handle imported event log files that fit in the computer’s memory. Once data files get bigger, scalability quickly drops since the speed required to access the data becomes a limiting factor. This paper proposes a new technique based on relational database technology as a solution for scalable proc

frenzy

Kai Reimers,Xunhua Guo,Mingzhi Li,Bin Xie,Tiantian Zhangble products. This involves the reporting and publishing of various sustainability indicators. However, the demands of legal entities and customers constitute a tremendous challenge as products in these domains comprise various components and sub-components provided by suppliers. Hence, sustainabili

countenance

Kai Reimers,Xunhua Guo,Mingzhi Li,Bin Xie,Tiantian Zhangble products. This involves the reporting and publishing of various sustainability indicators. However, the demands of legal entities and customers constitute a tremendous challenge as products in these domains comprise various components and sub-components provided by suppliers. Hence, sustainabili

轻快走过

Kai Reimers,Xunhua Guo,Mingzhi Li,Bin Xie,Tiantian Zhang. The notion of a process instance (i.e., the case) plays an important role in process mining. Pattern mining techniques (such as traditional episode mining, i.e., mining collections of partially ordered events) do not consider process instances. In this paper, we present a new technique (and corres

lactic

Kai Reimers,Xunhua Guo,Mingzhi Li,Bin Xie,Tiantian Zhang and are constantly in a process of optimization. Fundamental parts of these organizations are their business processes. Discovering and understanding the actual execution flow of the processes deployed in organizations is an important enabler for the management, analysis, and optimization of both,

大雨

ibutes. For each sublog, a separated process model is discovered and compared to other models to identify group-specific differences for the process. For an effective explorative process analysis, performance is vital due to the explorative characteristics of the analysis. We propose to adopt well-e