田锋
性别：男
职称：教授
职务：电子与信息学部副主任
主要任职：视觉信息与应用国家工程研究中心常务副主任
其他任职：陕西省大数据知识工程重点实验室
博士生导师：是
硕士生导师：是
学历：博士研究生毕业
学位：博士
所在单位：计算机科学与技术学院
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学科：计算机科学与技术
我的新闻
小组会议论文被计算机顶级会议（CCF A类）ICDE Track录用
发布时间：2017-01-13 点击次数：
发布时间：2017-01-13
文章标题：小组会议论文被计算机顶级会议（CCF A类）ICDE Track录用
内容：
"Mining Suspicious Tax Evasion Groups in Big Data (Extended abstract)" is accepted to ICDE/TKDE posters track 2017.
The reviewer commented on our paper as follows:
----------- Strong points ----------- 1. This paper presents an interesting problem, which is very novel and important. 2. The proposed model is comprehensive for text and connection features. 3. The discussion and definitions are abundant. ----------- Weak points ----------- 1. The method and approach are difficult to interpret. 2. There is no vivid example or case to follow. ----------- Detailed review ----------- The authors present an interesting work, which is both novel and attractive. It inspires the readers to apply big data techniques to other domains. I like this work, but the current format is rather limited in definitions and couldn't provide more details of the model and performance.
