| 书目名称 | Logical and Relational Learning | | 编辑 | Luc De Raedt | | 视频video | | | 概述 | First textbook on multirelational data mining and inductive logic programming.Includes supplementary material: | | 丛书名称 | Cognitive Technologies | | 图书封面 |  | | 描述 | Iusethetermlogicalandrelationallearning torefertothesub?eldofarti?cial intelligence,machinelearninganddataminingthatisconcernedwithlearning in expressive logical or relational representations. It is the union of inductive logic programming, (statistical) relational learning and multi-relational data mining, which all have contributed techniques for learning from data in re- tional form. Even though some early contributions to logical and relational learning are about forty years old now, it was only with the advent of - ductive logic programming in the early 1990s that the ?eld became popular. Whereas initial work was often concerned with logical (or logic programming) issues,thefocushasrapidlychangedtothediscoveryofnewandinterpretable knowledge from structured data, often in the form of rules, and soon imp- tant successes in applications in domains such as bio- and chemo-informatics and computational linguistics were realized. Today, the challenges and opp- tunities of dealing with structured data and knowledge have been taken up by the arti?cial intelligence community at large and form the motivation for a lot of ongoing research. Indeed, graph, network and multi-relational data | | 出版日期 | Textbook 2008 | | 关键词 | artificial intelligence; data mining; database; intelligence; learning; machine learning; programming; rela | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-68856-3 | | isbn_softcover | 978-3-642-05748-9 | | isbn_ebook | 978-3-540-68856-3Series ISSN 1611-2482 Series E-ISSN 2197-6635 | | issn_series | 1611-2482 | | copyright | Springer-Verlag Berlin Heidelberg 2008 |
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发表于 2025-3-21 19:43:52
