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.