High profitability and customer satisfaction are of supreme importance for any business. To achieve both objectives, an organisation must design a structured approach. To achieve profitability, organisations look to principles of lean manufacturing and techniques such as EFQM, business excellence. This paper reviews such methodologies across different industries, comparing techniques and elemen...

Data fusion is the process of enriching data sets by combining information from different sources, to provide a single data set to mine in. Data fusion projects are complex, and to structure these we have built a process model for data fusion, inspired by the CRISP process model for data mining. The end goal is to build a fusion factory, where fusion projects are automated much as possible.

The increasingly vast number of marketing campaigns over time has reduced its effect on the general public. Furthermore, economical pressures and competition has led marketing managers to invest on directed campaigns with a strict and rigorous selection of contacts. Such direct campaigns can be enhanced through the use of Business Intelligence (BI) and Data Mining (DM) techniques. This paper de...

Classification is a widely used technique in data mining. Thereby achieving a reasonable classifier performance is an increasingly important goal. This paper aims to empirically show how classifier performance can be improved by knowledge-driven data preparation using business, data and methodological know-how. To point out the variety of knowledge-driven approaches, we firstly introduce an adv...

The short-term and long-term consequences of whole-body vibration (WBV) have been shown to adversely affect occupational health and safety. Some of these effects can lead to permanent disabilities, especially to muscoskeletal, spinal and gastro-intestinal disorders (Boshuizen and Hulshof1). One of the most common complaints from personnel exposed to high levels of WBV is that of lower back pain...

From the modest beginning in 1948, the atomic energy programme of India has grown to vast dimensions with mosaic of many interrelated programmes. The uranium ore mining and processing industry of the country began at Jaduguda in 1968. It has made a very impressive growth during these years with four operating mines and meeting the entire fuel requirement of the country. The country now has a de...

Yunnan province is rich of mineral resources and the mining industry is the pillar industry in Yunnan. But with the development of mining economy, the problems of the ecological environmental damage have come out. Under the mechanism of ecological environment compensation, the mining economic development in Yunnan needs to deal well with the problems of environmental protection. According to th...

Today medical and Healthcare industry generate loads of diverse data about patients, disease diagnosis, prognosis, management, hospitals’ resources, electronic patient health records, medical devices and etc. Using the most efficient processing and analyzing method for knowledge extraction is a key point to cost-saving in clinical decision making. Data mining, sometimes called data or knowledge...

Insurance industry contributes largely to the economy therefore risk management in this industry is very much necessary. In the insurance parlance, the risk management is a tool identifying business opportunities to design and modify the insurance products. Risk can have severe impact in case not managed properly and timely. The mapping of risk management with data mining will help organization...

South African miners face an epidemic of occupational lung diseases. Despite a plethora of research on the mining industry, and the gold mining industry in particular, research impact (including disease surveillance) on policy implementation and occupational health systems performance lags. We describe the gold mining environment, and research on silicosis, tuberculosis, HIV and AIDS, and compe...