The process of historical data analysis through data mining has proven valuable for the industrial environment. There are many models available that describe the in-house process of data mining. However, many companies either do not have in-house skills or do not wish to invest in performing in-house data mining. This paper investigates the applicability of two well-established data mining proc...

background: developmental activities especially the establishment of more than 20 industrial units in semnan province caused the officers worries about increased concentration of heavy metals in drinking water supplies and probably increasing of health risk at consumers. the aim of the study was to investigate the effect of semnan province industrial development on the health risk level caused ...

Process mining is an established approach for analyzing and modeling complex business processes. In this paper we showcase ProMetheuS, a flexible and scalable suite for process mining natively designed for industrial applications. Moving from the experience of the ProM framework, the state-of-art process mining tool, ProMetheuS introduces three innovative designing elements. Firstly, ProMetheuS...

Data Mining techniques have been applied in many application areas. A Data Mining project has been often described as a process of automatic discovery of new knowledge from large amounts of data. However the role of the domain knowledge in this process and the forms that this can take, is an issue that has been given little attention so far. Based on our experience with a large scale Data Minin...

Understanding rework, the causes of rework, and the relationship between issues, decisions and the associated actions, is crucial in minimizing the fundamental industrial problems in system engineering projects. The aim of our research is to apply text mining techniques to track elements of decision making and extract semantic associations between decisions, actions and rework. Text mining is s...

With the rapid development of Internet, the internet of things and other information technology, big data usually exists in cyberspace as the form of the data stream. It brings great benefits for information society. Meanwhile, it also brings crucial challenges on big data mining in the data stream. Recently, academic and industrial communities have a widespread concern on massive data mining p...

The process of historical data analysis through data mining has proven to be of value for the industrial environment. There are many models available which describe the inhouse process of data mining. However, many companies either do not have the inhouse skills or do not wish to invest in performing inhouse data mining. This research investigates the applicability of two well-established data ...

By international standards the economy of South Africa is extremely energy intensive with only a few countries having higher intensities. SA’s primary energy use per unit of GDP is amongst the highest in the world The high energy and electricity intensity of the economy partly reflects SA’s resource endowments (in particular the abundance of coal) but is also a function of the historical under-...

Apparel production is a high value-added industry in the global textile manufacturing chain. Standard size charts are crucial industrial standards for high-tech apparel industries to maintain competitive advantages in knowledge economy era. However, these industries suffering from production management and marketing often find it hard to obtain the accurate standard size charts. In addition to ...