图 书 馆
水产养殖中的数据分析Data Analytics in Aquaculture |
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| 课程网址: | http://videolectures.net/sikdd2016_pita_costa_aquaculture/ |
| 主讲教师: | João Pita Costa |
| 开课单位: | 约瑟夫·斯特凡研究所 |
| 开课时间: | 2016-11-15 |
| 课程语种: | 英语 |
| 中文简介: |  当今水产养殖面临的具体挑战揭示了必须适当解决并与最新优化方法同步的需求和问题。现在是将水产养殖技术提升到一个新的发展和理解水平的时候了。在这方面，人们必须考虑最先进的统计和数据挖掘方法，这些方法允许通过收集的数据集更深入地了解水产养殖的现实，无论是从日常数据还是从采样到采样数据。这还必须根据养鱼者的专业知识、他们的程序和当今使用的技术进行调整。在本文中，我们回顾了水产养殖数据分析方法的最新状态、源自该业务特征的程序的可用数据，并提出了允许更深入了解数据的数学模型。我们还解决了数据未知问题，并制定了有助于业务成功的策略，从而从数据中发现有价值的信息，使其变得可用、相关和可操作。 |
| 课程简介: | The specific challenges in aquaculture today reveal needs and problems that must be addressed appropriately and in sync with the most recent optimization methods. It is now the time to bring the techniques of aquaculture to a new level of development and understanding. In that, one must consider the state of the art methods of statistics and data mining that permit a deeper insight into the aquaculture reality through the collected datasets, either from daily data or from sampling to sampling data. This must also be tuned to the expert knowledge of the fish farmers, their procedures and technology in use today. In this paper we review the state of the art of data analytics methodology in aquaculture, the data available deriving from the procedures characteristic to this business, and propose mathematical models that permit a deeper insight on the data. We also address the data unknowns and strategies developed that will contribute to the success of the business, leading to discover valuable information from the data that can be made usable, relevant and actionable. |
| 关 键 词: | 水产养殖; 数据挖掘; 采样数据分析 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-06-16：zyk |
| 最后编审: | 2024-01-16：liyy |
| 阅读次数: | 38 |