Oil and gas industries archive volumes of heterogeneous data. These companies, by virtue of their diverse operations … company's business activities, the flow of data and information must be consistent and sharing among its units. In order to … improve information sharing among oil and gas company's personnel, heterogeneous data from various sources are integrated …

and current information and data of their prime suppliers of critical components. Current research and literature search … practices, corporate governance, competitive factors and operating environment. This paper proposes a data gathering model for …

intervention can prevent these crashes. This paper presents a novel methodology, based on data mining techniques, to identify … theory was used to discover dependencies among data, and reasons using the vague, uncertain and imprecise information that … approach to analyse road crashes. Our data mining approach is supported with proven theory and will allow road safety …

process. Knowledge Discovery in Databases (KDD) methodology described for the data mining is an example of how frameworks can … be used to facilitate such data integration. This research will examine how such a ICT based framework can be used to … knowledge acquisition. This framework describes steps for data capture, analysis and data processing which precede the delivery …

Due to explosive growth of data and information, exploration and production manager's strategic planning, decision … are type entities of any petroleum producing company. Data structures of petroleum exploration and production entities are … often in heterogeneous form. Data integration and information sharing are key issues of petroleum exploration and production …

manage distributed data and act as a secure infrastructure for the delivery of computing power to distributed teams. The … application focus used to test this infrastructure is the analysis of distributed data resources and their use as a source of … competitive advantage. This requires the Grid infrastructure to support teams that draw on expertise, data and compute resources …

Sharing data among organizations often leads to mutual benefit. Recent technology in data mining has enabled efficient …

this leads to different asset management systems storing similar sets of data in multiple locations in an organisation. As … consolidating their multiple data stores, to form a “single point of truth”. As part of a strategy to integrate several asset …. A decision was made to use the MIMOSA OSA-EAI CRIS data model as well as the OSA-EAI Reference Data in building the …

combination of forecasts that have been diversified by three different methods: with parameters learned at different data …

The parameter in negative correlation learning (NC) controls the degree of co-operation between individual networks …