MARC状态：审校 文献类型：西文图书 浏览次数：62
- 题名/责任者:
- The phantom pattern problem : the mirage of big data / Gary Smith, Jay Cordes.
- 出版发行项:
- Oxford ; New York, NY : Oxford University Press, 2020.
- ISBN:
- 9780198864165 (hbk.)
- 载体形态项:
- 227 p. : ill. ; 24 cm.
- 个人责任者:
- Smith, Gary.
- 附加个人名称:
- Cordes, Jay.
- 论题主题:
- Big data.
- 论题主题:
- Data mining.
- 中图法分类号:
- TP311.13
- 书目附注:
- Includes bibliographical references (pages 217-224) and index.
- 摘要附注:
- Pattern-recognition prowess served our ancestors well, but today we are confronted by a deluge of data that is far more abstract, complicated, and difficult to interpret. The number of possible patterns that can be identified relative to the number that are genuinely useful has grown exponentially - which means that the chances that a discovered pattern is useful is rapidly approaching zero.Patterns in data are often used as evidence, but how can you tell if that evidence is worth believing? We are hard-wired to notice patterns and to think that the patterns we notice are meaningful. Streaks, clusters, and correlations are the norm, not the exception. Our challenge is to overcome our inherited inclination to think that all patterns are significant, as in this age of Big Data patterns are inevitable and usually coincidental.
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