图 书 馆
用统计方法识别物体Object Identification by Statistical Methods |
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| 课程网址: | http://videolectures.net/solomon_lenz_oism/ |
| 主讲教师: | Hans-Joachim Lenz |
| 开课单位: | 自由大学 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Numerical data fusion or merging of overlapping data files becomes a hard problem if no global unique identifying keys exist in the corresponding data sets. Typical examples are the linkage of address files supplied from different sources for commercial purposes - a money making area-, the merging of special offers in various media (cf. duplicate detection), or an administrative record census (ARC) as planed in Germany, where several autonomous, heterogeneous registers are to be merged. We present a three-step procedure consisting of the steps conversion of attributes, comparison of values of a pair of objects, and classification ('matching problem') of pairs either as "same" or "matched and "not same" or "not matched". We pay special attention to the quality and the efficiency of the methodology. We briefly discuss questions like correctness and completeness as well as pre-selection techniques like 'blocking' to reduce the computational complexity of pairwise comparisons. The approach is illustrated on data from carefully composed benchmark data sets. We assume some basic knowledge in computer science and classification (supervised learning). |
| 关 键 词: | 唯一标识; 重叠数据; 异构寄存器 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-22：cwx |
| 阅读次数: | 51 |