Abstract
Nowadays many companies and public organizations use powerful database systems for collecting and managing information. Huge amount of data records are often accumulated within a short period of time. Valuable information is embedded in these data, which could help discover interesting knowledge and significantly assist in decision-making process. However, human beings are not capable of understanding so many data records which often have lots of attributes. The need for automated knowledge extraction is widely recognized, and leads to a rapidly developing market of data analysis and knowledge discovery tools.
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Acknowledgements
We gratefully thank Devon Energy for permission to show their data. We thank Bob Vest and 3DSEIS software for being our 3D seismic interpretation software package. Also we would like to express our gratitude toward the referees who gave detailed and valuable suggestions for the improvement of this chapter.
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Ding, W., Chen, P. (2009). Interactive Visualization of Large High-Dimensional Datasets. In: Chan, Y., Talburt, J., Talley, T. (eds) Data Engineering. International Series in Operations Research & Management Science, vol 132. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0176-7_15
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