Industrial energy and environment efficiency evaluation become especially crucial as industrial sectors play a key role in CO2 emission reduction and energy consumption. This study adopts the additive range-adjusted measure data envelope analysis (RAM-DEA) model to estimate the low-carbon economy efficiency of Chinese industrial sectors in 2001–2013. In addition, the CO2 emission intensity miti...

Applying Data Mining and Knowledge Discovery to complex industrial problems is an increasing trend. The authors have been involved in researching and applying data mining to fault management and development testing of high-speed telecommunications systems. This paper discusses the strategies undertaken for data mining these applications using Telecommunications Management Network (TMN) data.

The 11th Pacific-Asia Knowledge Discovery and Data Mining Conference (PAKDD 2007) hosted a data mining competition, co-organized by the Singapore Institute of Statistics. The data set is from a consumer finance company with the aim of finding solutions for a cross-selling business problem. The company currently has two databases, one for credit card holders and the other for home loan (mortgage...

The study proposed the method of keyword enhanced Web structure mining which combines the ideas of Web content mining with Web structure mining. The method was used to mine data on business competition among a group of DSLAM companies. Specifically, the keyword DSLAM was incorporated into queries that searched for co-links between pairs of company Websites. The resulting co-link matrix was anal...

-Data Mining is a powerful tool for academic intervention. Mining in education environment is called Educational Data Mining. Educational Data Mining is concerned with developing new methods to discover knowledge from educational database and can used for decision making in educational system. In our work, we collected the student’s data from engineering institute that have different informatio...

“The debate on sustainable production often ends in discussions on the feasibility of farreaching changes in relation to the competitiveness of companies. Industry itself and policy-makers tend to back away from engaging in profound processes of industrial transformation” (Green, quotation frames the problem of moving towards sustainable production while dividing the issue into two separate yet...

Managing the business processes of companies is a task which has emerged as a top priority across all industries. However, business process management (BPM) is not just a set of structured methods and technologies which can simply be assigned to employees. On the contrary, the success of any process initiative is interwoven with the culture of the respective company. Additionally, in most cases...

Industrial and mining activities have been recognized as the major sources of soil heavy metal contamination. This study introduced an improved Nemerow index method based on the Nemerow and geo-accumulation index. Taking a typical industrial and mining gathering area in Tianjin (China) as example, this study then analyzed the contamination sources as well as the ecological and integrated risks....