图 书 馆
演进数据流的自适应XML树分类Adaptive XML Tree Classification on Evolving Data Streams |
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| 课程网址: | http://videolectures.net/ecmlpkdd09_gavalda_axmltceds/ |
| 主讲教师: | Ricard Gavalda |
| 开课单位: | 加泰罗尼亚技术大学 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose a new method to classify patterns, using closed and maximal frequent patterns as features. Generally, classification requires a previous mapping from the patterns to classify to vectors of features, and frequent patterns have been used as features in the past. Closed patterns maintain the same information as frequent patterns using less space and maximal patterns maintain approximate information. We use them to reduce the number of classification features. We present a new framework for XML tree stream classification. For the first component of our classification framework, we use closed tree mining algorithms for evolving data streams. For the second component, we use state of the art classification methods for data streams. To the best of our knowledge this is the first work on tree classification in streaming data varying with time. We give a first experimental evaluation of the proposed classification method. |
| 关 键 词: | 模式识别; 数据流; XML树分类 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-05：cwx |
| 阅读次数: | 49 |