| 書目名稱 | Multilabel Classification |
| 副標題 | Problem Analysis, Me |
| 編輯 | Francisco Herrera,Francisco Charte,María J. del Je |
| 視頻video | http://file.papertrans.cn/641/640474/640474.mp4 |
| 概述 | Covers key concepts of multilabel data characterization, treatment, and evaluation.Equips the reader with all the software tools needed to handle multilabel data, including step-by-step instructions f |
| 圖書封面 |  |
| 描述 | This book offers a comprehensive review of multilabel techniques widely used to classify and label texts, pictures, videos and music in the Internet. A deep review of the specialized literature on the field includes the available software needed to work with this kind of data. It provides the user with the software tools needed to deal with multilabel data, as well as step by step instruction on how to use them. The main topics covered are:.? The special characteristics of multi-labeled data and the metrics available to measure them..? The importance of taking advantage of label correlations to improve the results..? The different approaches followed to face multi-label classification..? The preprocessing techniques applicable to multi-label datasets..? The available software tools to work with multi-label data..This book is beneficial for professionals and researchers in a variety of fields?because of the wide range of potential applications for multilabel classification. Besides its multiple applications to classify different types of online information, it is also useful in many other areas, such as genomics and biology. No previous knowledge about the subject is required. The b |
| 出版日期 | Book 2016 |
| 關(guān)鍵詞 | Data mining; Machine learning; Classification; Multi-label data; Text categorization; Preprocessing; Datas |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-41111-8 |
| isbn_softcover | 978-3-319-82269-3 |
| isbn_ebook | 978-3-319-41111-8 |
| copyright | Springer International Publishing Switzerland 2016 |
|Archiver|手機版|小黑屋|
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