Allowance 发表于 2025-3-28 17:54:22

Classification and Data Analysisof new connections between domains (so called .), supporting the creative discovery process in a novel way. We motivate this approach, show the difference to classical data analysis and conclude by briefly illustrating some types of domain-crossing connections along with illustrative examples.

诱拐 发表于 2025-3-28 22:09:53

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表示向下 发表于 2025-3-28 23:06:10

978-3-642-24799-6Springer-Verlag GmbH Berlin Heidelberg 2011

黄瓜 发表于 2025-3-29 04:08:31

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车床 发表于 2025-3-29 10:16:21

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COM 发表于 2025-3-29 13:53:47

Classification and Data Analysisof new connections between domains (so called .), supporting the creative discovery process in a novel way. We motivate this approach, show the difference to classical data analysis and conclude by briefly illustrating some types of domain-crossing connections along with illustrative examples.

召集 发表于 2025-3-29 17:09:48

https://doi.org/10.1007/978-3-642-60126-2s to help manage the balance between environmental, economic, and societal needs for sustainable development. The notion of sustainable development — development that meets the needs of the present without compromising the ability of future generations to meet their needs — was introduced in Our Com

贪心 发表于 2025-3-29 23:19:48

Classification and Data Analysis the medical and biotechnology, the internet and mobile technology etc. Often these technologies lead to a huge amount of data being generated, and making best use of these technologies often depends on how best to interpret these data in the context of many problem solving and complex systems. Inte

Myosin 发表于 2025-3-30 02:40:45

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PET-scan 发表于 2025-3-30 04:27:58

Classification and Data Analysist generation of ubiquitous applications. This paper motivates and describes a novel Context-aware Collaborative data stream mining system . that allows intelligent mining and classification of time-changing data streams on-board ubiquitous devices. . explores the knowledge available in other ubiquit
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查看完整版本: Titlebook: Advances in Intelligent Data Analysis X; 10th International S João Gama,Elizabeth Bradley,Jaakko Hollmén Conference proceedings 2011 Spring