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Titlebook: Managing Event Information; Amarnath Gupta,Ramesh Jain Book 2011 Springer Nature Switzerland AG 2011

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書(shū)目名稱(chēng)Managing Event Information
編輯Amarnath Gupta,Ramesh Jain
視頻videohttp://file.papertrans.cn/624/623015/623015.mp4
叢書(shū)名稱(chēng)Synthesis Lectures on Data Management
圖書(shū)封面Titlebook: Managing Event Information;  Amarnath Gupta,Ramesh Jain Book 2011 Springer Nature Switzerland AG 2011
描述With the proliferation of citizen reporting, smart mobile devices, and social media, an increasing number of people are beginning to generate information about events they observe and participate in. A significant fraction of this information contains multimedia data to share the experience with their audience. A systematic information modeling and management framework is necessary to capture this widely heterogeneous, schemaless, potentially humongous information produced by many different people. This book is an attempt to examine the modeling, storage, querying, and applications of such an event management system in a holistic manner. It uses a semantic-web style graph-based view of events, and shows how this event model, together with its query facility, can be used toward emerging applications like semi-automated storytelling. Table of Contents: Introduction / Event Data Models / Implementing an Event Data Model / Querying Events / Storytelling with Events / An Emerging Application / Conclusion
出版日期Book 2011
版次1
doihttps://doi.org/10.1007/978-3-031-01882-4
isbn_softcover978-3-031-00754-5
isbn_ebook978-3-031-01882-4Series ISSN 2153-5418 Series E-ISSN 2153-5426
issn_series 2153-5418
copyrightSpringer Nature Switzerland AG 2011
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發(fā)表于 2025-3-21 22:38:39 | 只看該作者
Managing Event Information978-3-031-01882-4Series ISSN 2153-5418 Series E-ISSN 2153-5426
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Event Data Models,As we saw in the last chapter, there is wide diversity in the way data modelers and knowledge representation researchers view events. In this chapter, we will present a number of approaches to event data modeling.
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Amarnath Gupta,Ramesh Jainy-based proteomics approaches, we introduce how both data analysis reproducibility and data quality can influence each other and how data quality and data analysis designs can be used to increase robustness and improve reproducibility. We first introduce methods and concepts to design and maintain r
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發(fā)表于 2025-3-23 02:02:50 | 只看該作者
Amarnath Gupta,Ramesh Jaintail essential for reproducible results.Contains key notes a.Since the publishing of the first edition, the methodologies and instrumentation involved in the field of mass spectrometry-based proteomics has improved considerably.? Fully revised and expanded, .Mass Spectrometry Data Analysis in Proteo
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發(fā)表于 2025-3-23 06:23:16 | 只看該作者
Amarnath Gupta,Ramesh Jaintail essential for reproducible results.Contains key notes a.Since the publishing of the first edition, the methodologies and instrumentation involved in the field of mass spectrometry-based proteomics has improved considerably.? Fully revised and expanded, .Mass Spectrometry Data Analysis in Proteo
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