The healthcare industry collects huge amounts of data which, unfortunately, are not turned into useful information for effective decision making. Clinical Decision support systems (CDSS) can now use advanced technologies such as On-Line Analytical Processing (OLAP) and Data Mining to deliver advanced capabilities. This paper presents a prototype CDSS using OLAP with Data Mining (OLAP Mining) wh...

Equipment-induced vibration is widely recognized as a health hazard. It is a physical stressor to which many people are exposed at workplace. Mining industry is no exception. In spite of extensive research undertaken in the developed countries, information on the magnitude of the problem in India is not available. An estimated 1 million workers were engaged in the Indian mining industry in the ...

British involvement in the American mining frontier presents us with an interesting conundrum. On the one hand, British miners, managers, and engineers played a major role in bringing locally-owned and promoted ventures into short-term profit and successful long-term development. On the other hand, direct investments in the same mining districts undertaken by British owned companies met with ne...

Musical audio mining can be defined as data mining on musical audio. It will allow users to search and retrieve music, not only by means of text queries (such as title, composer, text song, conductor, orchestra), but also by means of content-based musical queries, such as query-byhumming/singing/playing, by specification of a list of musical variables (such as ‘happy’, ‘energetic’, etc.), or by...

The telecommunications industry was one of the first to adopt data mining technology. This is most likely because telecommunication companies routinely generate and store enormous amounts of high-quality data, have a very large customer base, and operate in a rapidly changing and highly competitive environment. Telecommunication companies utilize data mining to improve their marketing efforts, ...

Mining is a dust prone occupation and almost every major process in mining contributes to the atmospheric load of suspended particulate matter. Prolonged exposure of this dust is known to cause various respiratory diseases including deadly pneumoconiosis among the miners. The Central Institute of Mining and Fuel Research, Dhanbad has contributed significantly in the area of dust assessment and ...

In today’s garment industry, garment defects have to be minimized so as to fulfill the expectations of demanding customers who seek products of high quality but low cost. However, without any data mining tools to manage massive data related to quality, it is difficult to investigate the hidden patterns among defects which are important information for improving the quality of garments. This pap...

Privacy-preserving data mining techniques could encourage health data custodians to provide accurate information for mining by ensuring that the data mining procedures and results cannot, with any reasonable degree of certainty, violate data privacy. We outline privacypreserving data mining techniques/systems in the literature and in industry. They range from privacy-preserving data publishing,...

Sustainability assessment has received numerous attentions in the mining industry. Mining sustainability includes the environmental, economic, and social dimensions, and a sustainable development is achieved when all these dimensions improve in a balanced manner. Therefore, to measure the sustainability score of a mine, we require an approach that evaluates all these three dimensions of mining ...

Process mining is gaining more and more attention both in industry and practice. As such, the number of process mining products is steadily increasing. However, none of these products allow for composing and executing analysis workflows consisting of multiple process mining algorithms. As a result, the analyst needs to perform repetitive process mining tasks manually and scientific process expe...