| 書目名稱 | Rule Based Systems for Big Data |
| 副標(biāo)題 | A Machine Learning A |
| 編輯 | Han Liu,Alexander Gegov,Mihaela Cocea |
| 視頻video | http://file.papertrans.cn/833/832038/832038.mp4 |
| 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 |
| 叢書名稱 | Studies in Big Data |
| 圖書封面 |  |
| 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 |
| 關(guān)鍵詞 | 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 |
|Archiver|手機(jī)版|小黑屋|
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