| 书目名称 | Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use | | 编辑 | L. Octavio Lerma,Vladik Kreinovich | | 视频video | | | 概述 | Develops analytical models for knowledge-related processes, from knowledge acquisition to knowledge processing and knowledge propagation.Provides various case studies explaining how the corresponding | | 丛书名称 | Studies in Big Data | | 图书封面 |  | | 描述 | .This book describes analytical techniques for optimizing knowledge acquisition, processing, and propagation, especially in the contexts of cyber-infrastructure and big data. Further, it presents easy-to-use analytical models of knowledge-related processes and their applications...The need for such methods stems from the fact that, when we have to decide where to place sensors, or which algorithm to use for processing the data—we mostly rely on experts’ opinions. As a result, the selected knowledge-related methods are often far from ideal. To make better selections, it is necessary to first create easy-to-use models of knowledge-related processes. This is especially important for big data, where traditional numerical methods are unsuitable...The book offers a valuable guide for everyone interested in big data applications: students looking for an overview of related analytical techniques, practitioners interested in applying optimization techniques, and researchers seeking to improve and expand on these techniques.. | | 出版日期 | Book 2018 | | 关键词 | Data Processing; Knowledge Processing; Knowledge Use; Data Acquisition; Knowledge Propagation | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-61349-9 | | isbn_softcover | 978-3-319-87058-8 | | isbn_ebook | 978-3-319-61349-9Series ISSN 2197-6503 Series E-ISSN 2197-6511 | | issn_series | 2197-6503 | | copyright | Springer International Publishing AG 2018 |
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发表于 2025-3-21 18:05:21
