Trend analysis of categorical data streams with a concept change method
文献类型：期刊论文
| 作者 | Cao Fuyuan; Huang Joshua Zhexue; Liang Jiye |
| 刊名 | INFORMATION SCIENCES
 |
| 出版日期 | 2014 |
| 英文摘要 | This paper proposes a new method to trend analysis of categorical data streams. A data stream is partitioned into a sequence of time windows and the records in each window are assumed to carry a number of concepts represented as clusters. A data labeling algorithm is proposed to identify the concepts or clusters of a window from the concepts of the preceding window. The expression of a concept is presented and the distance between two concepts in two consecutive windows is defined to analyze the change of concepts in consecutive windows. Finally, a trend analysis algorithm is proposed to compute the trend of concept change in a data stream over the sequence of consecutive time windows. The methods for measuring the significance of an attribute that causes the concept change and the outlier degrees of objects are presented to reveal the causes of concept change. Experiments on real data sets are presented to demonstrate the benefits of the trend analysis method. |
| 收录类别 | SCI |
| 原文出处 | http://www.sciencedirect.com/science/article/pii/S0020025514001583 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5804]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | INFORMATION SCIENCES |
| 推荐引用方式 GB/T 7714 | Cao Fuyuan,Huang Joshua Zhexue,Liang Jiye. Trend analysis of categorical data streams with a concept change method[J]. INFORMATION SCIENCES,2014. |
| APA | Cao Fuyuan,Huang Joshua Zhexue,&Liang Jiye.(2014).Trend analysis of categorical data streams with a concept change method.INFORMATION SCIENCES. |
| MLA | Cao Fuyuan,et al."Trend analysis of categorical data streams with a concept change method".INFORMATION SCIENCES (2014). |
入库方式： OAI收割
来源：深圳先进技术研究院
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