IdeaGraph plus: A Topic-Based Algorithm for Perceiving Unnoticed Events
文献类型：会议论文
| 作者 | Zhang, Chen ; Wang, Hao ; Xu, Fanjiang ; Hu, Xiaohui |
| 出版日期 | 2013 |
| 会议名称 | IEEE 13th International Conference on Data Mining (ICDM) |
| 会议日期 | DEC 07-10, 2013 |
| 会议地点 | Dallas, TX |
| 关键词 | Chance Discovery Knowledge Discovery Topic Model Idea Graph plus Latent Information |
| 页码 | 735-741 |
| 中文摘要 | In the last few years, chance discovery as an extension of data mining has been proposed to capture rare but significant chances from a single document data for human decision making. Key Graph is a useful miner algorithm as well as a tool to discover chance candidates. On base of that, Idea Graph extended the concept of a chance to uncover more valuable chances. However, Key Graph and Idea Graph both fail to consider semantic relations among terms. In this paper, we propose an improved algorithm called Idea Graph plus which makes use of semantic information to enhance the performance of scenario construction using LDA topic model. Additionally, the term overlaps between sub-scenarios provide a thinking space for human to perceive unnoticed chances. An experiment demonstrates the superiority of Idea Graph plus by comparing with IdeaGraph. |
| 英文摘要 | In the last few years, chance discovery as an extension of data mining has been proposed to capture rare but significant chances from a single document data for human decision making. Key Graph is a useful miner algorithm as well as a tool to discover chance candidates. On base of that, Idea Graph extended the concept of a chance to uncover more valuable chances. However, Key Graph and Idea Graph both fail to consider semantic relations among terms. In this paper, we propose an improved algorithm called Idea Graph plus which makes use of semantic information to enhance the performance of scenario construction using LDA topic model. Additionally, the term overlaps between sub-scenarios provide a thinking space for human to perceive unnoticed chances. An experiment demonstrates the superiority of Idea Graph plus by comparing with IdeaGraph. |
| 收录类别 | CPCI |
| 会议录出版地 | IEEE |
| 语种 | 英语 |
| ISSN号 | 1550-4786 |
| ISBN号 | 978-0-7695-5109-8 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16504]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Zhang, Chen,Wang, Hao,Xu, Fanjiang,et al. IdeaGraph plus: A Topic-Based Algorithm for Perceiving Unnoticed Events[C]. 见:IEEE 13th International Conference on Data Mining (ICDM). Dallas, TX. DEC 07-10, 2013. |
入库方式： OAI收割
来源：软件研究所
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