| 书目名称 | Mining Heterogeneous Information Networks | | 副标题 | Principles and Metho | | 编辑 | Yizhou Sun,Jiawei Han | | 视频video | | | 丛书名称 | Synthesis Lectures on Data Mining and Knowledge Discovery | | 图书封面 |  | | 描述 | Real-world physical and abstract data objects are interconnected, forming gigantic, interconnected networks. By structuring these data objects and interactions between these objects into multiple types, such networks become semi-structured heterogeneous information networks. Most real-world applications that handle big data, including interconnected social media and social networks, scientific, engineering, or medical information systems, online e-commerce systems, and most database systems, can be structured into heterogeneous information networks. Therefore, effective analysis of large-scale heterogeneous information networks poses an interesting but critical challenge. In this book, we investigate the principles and methodologies of mining heterogeneous information networks. Departing from many existing network models that view interconnected data as homogeneous graphs or networks, our semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and uncovers surprisingly rich knowledge from the network. This semi-structured heterogeneous network modeling leads to a series of new principles and powerful methodologies f | | 出版日期 | Book 2012 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-01902-9 | | isbn_softcover | 978-3-031-00774-3 | | isbn_ebook | 978-3-031-01902-9Series ISSN 2151-0067 Series E-ISSN 2151-0075 | | issn_series | 2151-0067 | | copyright | Springer Nature Switzerland AG 2012 |
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发表于 2025-3-21 19:01:04
