Data Mining, Knowledge Discovery, and Data - Knowledge Fusion views the existing data and knowledge in your company as a strategic source for new opportunities. Data Mining and Knowledge Discovery has been defined in the literature as "the non-trivial extraction of implicit, previously unknown and potentially useful knowledge from data". Data - knowledge Fusion on the other hand, is the amalgamation of data driven solutions (usually the outcome of the Data Mining and Knowledge Discovery) with corporate business rules or company's existing knowledge and expertise for development of powerful solutions to address specific problems.

Data Mining, Knowledge Discovery, and Data - Knowledge Fusion is the art of combining simple and sophisticated tools and techniques in a multi-disciplinary field of research and development that requires a fundamental understanding and experience in harmonic application of technologies such as machine learning, statistics, database technology, expert systems, uncertainty and ambiguity management, and data visualization.

Following three articles that have appeared in SPE's Journal of Petroleum Technology (JPT) during September, October and November of 2000, in the "Distinguished Author Series", are among the highly recommended readings on the subject of Intelligent Systems and their application in petroleum industry. You can download a complete version of these articles by clicking on these links.






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