| 書目名稱 | Machine Learning and Data Mining in Pattern Recognition |
| 副標(biāo)題 | 9th International Co |
| 編輯 | Petra Perner |
| 視頻video | http://file.papertrans.cn/621/620462/620462.mp4 |
| 概述 | Proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition |
| 叢書名稱 | Lecture Notes in Computer Science |
| 圖書封面 |  |
| 描述 | This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining. |
| 出版日期 | Conference proceedings 2013 |
| 關(guān)鍵詞 | algorithms; feature selection; prediction; support vector machines; text classification; algorithm analys |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-39712-7 |
| isbn_softcover | 978-3-642-39711-0 |
| isbn_ebook | 978-3-642-39712-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2013 |