The world today is moving faster in the software industry than anywhere else. To keep data mining tools accessible to everyone is a Herculean task. We plan to solve this problem in this paper and tool. AK Miner is an online data mining tool that is easily accessible by anyone with a computer. The one of the advantages of AK Miner over the already preexisting Data mining Tools is that it is not ...

The health of mining communities is becoming a priority for the mining industry, governments, and researchers. This paper describes an exploratory qualitative study into community health issues and mining activities (associated with the mining boom–bust cycle) from the perspective of health and social service providers in the northern Canadian coal mining community of Tumbler Ridge, British Col...

The pharmaceutical industry is well known for using SAS to perform quantitative analysis for clinical research. Lately, however, competitive pressures have created opportunities in the marketing departments to use SAS for Data Mining. Applications such as sales force planning and direct marketing to doctors and consumers are employing many new SAS tools and techniques. This paper will provide a...

This research contributes to the domain of long-term care by exploring knowledge discovery techniques based on a large dataset and guided by representative information needs to better manage both quality of care and financial spendings, as a next step towards more mature healthcare business intelligence in long-term care. We structure this exploratory research according to the steps of the CRos...

CRISP-DM is the standard to develop Data Mining projects. CRISP-DM proposes processes and tasks that you have to carry out to develop a Data Mining project. A task proposed by CRISP-DM is the cost estimation of the Data

The occurrence of various meteorological phenomena, such as fog or low cloud cover, has significant impact on many human activities as air or ship transport operations. The management of air traffic at the airports was the main reason to design effective mechanisms for timely prediction of these phenomena. In both these cases meteorologists already use some physical models based on differential...

The direct-marketing business process applied in Slovenian publishing company was inefficient because of inadequate procedure used to create a list of potential customers for a marketing campaign. Considering the nature of the problem, data mining was selected to solve the problem. The company’s direct marketing business process was renovated based on the CRISP-DM methodology and by using data ...

Software projects need to predict the cost and effort with its associated quantity of resources at the beginning of every project. Information Mining projects are not an exception to this requirement, particularly when they are required by Small and Medium-sized Enterprises (SMEs). An existing Information Mining projects estimation method is not reliable for small-sized projects because it tend...

This paper summarizes the development of a data mining solution for business intelligence applied to the channel detail in a soft drink industry. The aim is to develop the analysis, design and construction of a solution based on the guidelines on the CRISP-DM methodology. The solution of business intelligence used has a data mart with consolidate information, which allows users to quickly acces...

Acid drainage (AD) has been recognized as one of the major problems facing the Australian mining industry. Much of Australia has a semi-arid to arid climate and is sparsely populated. The impact of AD is therefore less here than in many other countries. Nevertheless, community and shareholder expectations, and the globalization of Australian mining company activities, have ensured the industry ...