[Overview] [Papers and Talks] [Source Code] [Dataset] [Contacts]
Please refer to the Abstract in our paper.
1. Semantics of Ranking Queries for Probabilistic Data and Expected Ranks,
Full version: Talk:
If you use this library for your work, please kindly cite our paper. Thanks!
If you find any bugs or any suggestions/comments, we are very happy to hear from you!
The library is developed in GNU C++. It also comes with the data Generator in Matlab. To compile the source code, simply go to each fodler and type Make.
ExpRank Library [tar.gz]
The subfolder's names are self-explain. Each subfolder contains a Makefile for easy-compilation. All the main test program has a verbose help output to explain what parameters it expects.
In the source-code released above, it also contains the data generator as well as some sample data sets (in the subfolder data).