Term mining for relation visualization and exploration - Some practical applications in crime investigation

Zih Ping Ho*, Yuen Hsien Tseng, Kai Sheng Yang, Chun Cheng Chen

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

3 引文 斯高帕斯(Scopus)

摘要

An efficient term mining method to build a general term network is presented for entity relation visualization and exploration. Terms from each document in the corpus are first identified. They are subjected to an analysis for their association weights, which are accumulated over all the documents for each term pair. The resulting term association matrix is used to build a general term network. A set of terms having similar attributes can then be given to extract the desired sub-network from the general term network for visualization. This analysis scenario based on the collective terms of the similar type or from the same source enables evidence-based relation exploration. Some practical instances of crime investigations were demonstrated. Our application examples show that term relations, be it causality, coupling, or others, can be effectively revealed by our method and verified by the underlying corpus. This work contributes by presenting an efficient and effective term-relationship mining method and extending the applicability of term networks to a broader range of informatic tasks.

原文英語
主出版物標題Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011
頁面1-4
頁數4
出版狀態已發佈 - 2011
事件3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011 - Macau, 澳门
持續時間: 2011 10月 242011 10月 26

出版系列

名字Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011

其他

其他3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011
國家/地區澳门
城市Macau
期間2011/10/242011/10/26

ASJC Scopus subject areas

  • 人工智慧
  • 資訊系統

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