A well-known alternative to identify hidden standards is the use of data mining techniques. In order to obtain more efficiency in data mining, ontologies have been used to improve the representation in specialized knowledge domains. Here, we apply ontologies in a dataset of a diagnostic medicine company, which concerns to viral human hepatitis, with the aim of obtaining the best correlations be...

Recent advances in communication and information technology, such as the increasing accuracy of GPS technology and the miniaturization of wireless communication devices pave the road for Location– Based Services (LBS). To achieve high quality for such services, spatio– temporal data mining techniques are needed. In this paper, we describe experiences with spatio–temporal rule mining in a Danish...

Text mining and machine learning methodologies have been applied to biomedicine and business domains for new relationship and knowledge discovery. Company annual reports (or 10K filings), as one of the most important mandatory information disclosures, have remained untapped by the text mining and machine learning community. Previous research indicates that the narrative disclosures in company a...

Companies’ managers are very enthusiastic to extract the hidden and valuable knowledge from their organization data. Data mining is a new and well-known technique, which can be implemented on customers data and discover the hidden knowledge and information from customers' behaviors. Organizations use data mining to improve their customer relationship management processes. In this paper R, F, an...

In this paper, the knowledge discovery in databases and data mining (KDD/DM), one of the data-based decision support technologies, is applied to help in targeting customers for the insurance industry. In most KDD/DM application cases, major tasks are required, including data preparation, data preprocessing, data mining, interpretation, application and evaluation. A case study is presented that ...

in today's competitiveenvironment, customers are the most important asset to any company. therefore,in order to retain customers, it is essential to understandtheirbehaviour for developing effective strategies. one of the most commonmethods for customer analysis is market segmentation that helps companies todevelop marketing technique by dividing market into several smaller homogeneousgrou...

Climate change is a material risk companies are facing in their quest to achieve sustainable practices. As one of the anthropogenic causals climate change, revising policies and practices include minimize effects. The purpose this research was investigate how Newmont Mining Company covers environmental sustainability policy pro-environmental behaviors researcher selected two secondary data comp...

mining and metallurgical projects are among those that require the most sizeable invest-ments undertaken in iran. one target of the current development plan and the ministry of mines and industries has been to attract foreign investment in mining projects. a survey of world-class mining companies was conducted to determine their expectations and in order to recommend a frame work for iran aimed...

1 Abstract Few studies have explored the possibility of mining Web hyperlink data for e-commerce or business information. This study is an attempt to fill this gap. The project selected a group of telecommunications equipment companies and collected data on the number of links pointing to the company Websites (inlinks) and the company’s revenue. A significant correlation between the two variabl...

Contemporary business information systems record business events in event logs. Process mining techniques permit to explore these logs to understand and analyze processes. Although, there are a number of case studies demonstrating usefulness of process mining techniques in real-life case studies, process conformance check techniques miss such practical evaluation. Also the commercial tools have...