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| Tekijä: | Fayyad, U. Haussler, D. Stolorz, P. |
| Otsikko: | Mining scientific data |
| Lehti: | Communications of the ACM
1996 : NOV, VOL. 39:11, p. 51-57 |
| Asiasana: | COMMUNICATIONS INDUSTRY ECONOMICS UNITED KINGDOM |
| Kieli: | eng |
| Tiivistelmä: | Digesting millions of data points, each with tens or hundreds of measurements -- generally beyond a scientist's human capability -- can be turned over to data mining techniques for data reduction, which functions as an interface between the scientist and large datasets. The scientist at the other end of today's data collection machinery -- whether a satellite collecting data from a remote sensing platform, a telescope scanning the skies, or a microscope probing the minute details of a cell -- is typically faced with the problem: what do I do with all the data? |
SCIMA