Uncertainty Handling And Quality Assessment In Data Mining
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Uncertainty Handling And Quality Assessment In Data Mining
The Recent Explosive Growth Of Our Ability To Generate And Store Data Has Created A Need For, Scalable And Efficient, Tools For Data Analysis. The Main Focus Of The Discipline Of Knowledge Discovery In Databases Is To Address This Need. Knowledge Discovery In Databases Is The Fusion Of Many Areas That Are Concerned With Different Aspects Of Data Handling And Data Analysis, Including Databases, Machine Learning, Statistics, And Algorithms.
- 品牌: Springer Nature B.V
- 类别: 计算机与互联网
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语言: English
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作者: Michalis Vazirgiannis
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出版日期: 2012-10-04
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页数: 240
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出版社／标签: Springer Nature B.V
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格式: Paperback
- Fruugo ID: 557053322-1125321795
- ISBN: 9781447111191
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