| 书目名称 | Rule Based Systems for Big Data |
| 副标题 | A Machine Learning A |
| 编辑 | Han Liu,Alexander Gegov,Mihaela Cocea |
| 视频video | |
| 概述 | Presents a novel theory of rule based systems in machine learning context.Introduces ways of big data processing by rule learning algorithms for knowledge discovery and predictive modelling in classif |
| 丛书名称 | Studies in Big Data |
| 图书封面 |  |
| 描述 | .The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. .The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems. . |
| 出版日期 | Book 2016 |
| 关键词 | Big Data; Computational Complexity; Data Mining; Ensemble Learning; Expert Systems; If-Then Rules; Interpr |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-23696-4 |
| isbn_softcover | 978-3-319-37027-9 |
| isbn_ebook | 978-3-319-23696-4Series ISSN 2197-6503 Series E-ISSN 2197-6511 |
| issn_series | 2197-6503 |
| copyright | Springer International Publishing Switzerland 2016 |
发表于 2025-3-21 19:53:58
