Model Selection Management Systems: The Next Frontier of Advanced Analytics

Model Selection Management Systems: The Next Frontier of Advanced Analytics
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模型选择管理系统：高级分析的下一个前沿

DOI：
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发表时间：
2016
期刊：
SGMD
影响因子：
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通讯作者：
J. Patel
J. Patel
中科院分区：
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文献类型：
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作者：
Arun Kumar;Robert McCann;J. Naughton;J. Patel

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约翰·博伊德在20世纪60年代就认识到态势感知对军事行动的重要性，并引入了OODA循环（观察、调整、决策、行动）的概念。如今我们意识到，许多应用都必须涉及态势感知：客户关系管理、人力资本管理、供应链管理、患者护理、电网管理和云服务管理，以及任何与物联网相关的应用；这个清单似乎无穷无尽。态势感知要求应用以集成的方式支持数据、知识、流程以及诸如社交网络等其他服务的管理。这些应用还需要高度个性化以及快速且持续的演进。它们必须提供各种各样的操作和功能要求，包括实时处理。 手工制作这些应用几乎是一项不可能完成的任务，需要耗费大量的开发和维护资源。由于开发过程中涉及的资源和时间问题，这些应用通常远远达不到预期的功能、操作特性以及演进的便捷性和速度。我们——作者们——已经开发了一种模型，能够以声明式的、因而经济的方式开发和维护具有态势感知能力的应用；我们将这个模型称为KIDS——知识密集型数据处理系统。
John Boyd recognized in the 1960's the importance of situation awareness for military operations and introduced the notion of the OODA loop (Observe, Orient, Decide, and Act). Today we realize that many applications have to deal with situation awareness: Customer Relationship Management, Human Capital Management, Supply Chain Management, patient care, power grid management, and cloud services management, as well as any IoT (Internet of Things) related application; the list seems to be endless. Situation awareness requires applications to support the management of data, knowledge, processes, and other services such as social networking in an integrated way. These applications additionally require high personalization as well as rapid and continuous evolution. They must provide a wide variety of operational and functional requirements, including real time processing. Handcrafting these applications is an almost impossible task requiring exhaustive resources for development and maintenance. Due to the resources and time involved in their development, these applications typically fall way short of the desired functionality, operational characteristics, and ease and speed of evolution. We - the authors - have developed a model enabling the development and maintenance of situation-aware applications in a declarative and therefore economical manner; we call this model KIDS - Knowledge Intensive Data-processing System.