| 书目名称 | Innovations in Big Data Mining and Embedded Knowledge |
| 编辑 | Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jai |
| 视频video | |
| 概述 | Includes theoretical foundations, practical applications, and case studies.Addresses the usefulness of knowledge discovery through data mining and knowledge embedding through innovative models.Include |
| 丛书名称 | Intelligent Systems Reference Library |
| 图书封面 |  |
| 描述 | .This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets...Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships...The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified interest in knowledge management and data mining stems from the difficulty in identifying computational models able to approximate human behaviors and abilities in resolving organizational, social, and physical problems. Current ICT interfaces are not yet adequately advanced to support and simulate the abilities of physicians, teachers, assistants or housekeepers in domestic spheres. And unlike in industrial contexts where abilities are routinely applied, the domestic world is continuously ch |
| 出版日期 | Book 2019 |
| 关键词 | Knowledge Discovery; Domestic Spheres; Social Robots; Big Data Models; Complex Autonomous Systems; Social |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-15939-9 |
| isbn_softcover | 978-3-030-15941-2 |
| isbn_ebook | 978-3-030-15939-9Series ISSN 1868-4394 Series E-ISSN 1868-4408 |
| issn_series | 1868-4394 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 19:18:03
