analysis of telephone call detail records based on fuzzy decision tree
文献类型：会议论文
| 作者 | Ding Liping ; Gu Jian ; Wang Yongji ; Wu Jingzheng |
| 出版日期 | 2011 |
| 会议名称 | 3rd International ICST Conference on Forensic Applications and Techniques in Telecommunications, Information and Multimedia, E-Forensics 2010 |
| 会议日期 | November 1 |
| 会议地点 | Shanghai, China |
| 关键词 | Algorithms Computer crime Decision trees Digital devices Forestry Telephone sets Telephone systems Trees (mathematics) |
| 页码 | 301-311 |
| 中文摘要 | Digital evidences can be obtained from computers and various kinds of digital devices, such as telephones, mp3/mp4 players, printers, cameras, etc. Telephone Call Detail Records (CDRs) are one important source of digital evidences that can identify suspects and their partners. Law enforcement authorities may intercept and record specific conversations with a court order and CDRs can be obtained from telephone service providers. However, the CDRs of a suspect for a period of time are often fairly large in volume. To obtain useful information and make appropriate decisions automatically from such large amount of CDRs become more and more difficult. Current analysis tools are designed to present only numerical results rather than help us make useful decisions. In this paper, an algorithm based on fuzzy decision tree (FDT) for analyzing CDRs is proposed. We conducted experimental evaluation to verify the proposed algorithm and the result is very promising. © 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering. |
| 英文摘要 | Digital evidences can be obtained from computers and various kinds of digital devices, such as telephones, mp3/mp4 players, printers, cameras, etc. Telephone Call Detail Records (CDRs) are one important source of digital evidences that can identify suspects and their partners. Law enforcement authorities may intercept and record specific conversations with a court order and CDRs can be obtained from telephone service providers. However, the CDRs of a suspect for a period of time are often fairly large in volume. To obtain useful information and make appropriate decisions automatically from such large amount of CDRs become more and more difficult. Current analysis tools are designed to present only numerical results rather than help us make useful decisions. In this paper, an algorithm based on fuzzy decision tree (FDT) for analyzing CDRs is proposed. We conducted experimental evaluation to verify the proposed algorithm and the result is very promising. © 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering. |
| 收录类别 | EI ; SPRINGER |
| 会议主办者 | ICST |
| 会议录 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
 |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 9783642236013 |
| WOS记录号 | WOS:000285494500018 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16202]  |
| 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 | Ding Liping,Gu Jian,Wang Yongji,et al. analysis of telephone call detail records based on fuzzy decision tree[C]. 见:3rd International ICST Conference on Forensic Applications and Techniques in Telecommunications, Information and Multimedia, E-Forensics 2010. Shanghai, China. November 1. |
入库方式： OAI收割
来源：软件研究所
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