iKernel
Implemented by
Ilhwan Ko (koglep@postech.ac.kr)
Youngdae Kim (prayer@postech.ac.kr)
Hwanjo Yu (hwanjoyu@postech.ac.kr)
About iKernel:
iKernel efficiently and exactly finds the top-k instances using SVM-generated ranking function F. In our experiments on real data set, iKernel evaluates only 1~5% of data for processing the top-k query. The ranking function is generated using RankingSVM.
Using This Code:
This code is publicly available to facilitate research and education in the related areas of data mining and machine learning. If you publish material based on this code, please refer to the source as follows, to help others to obtain the same code and reproduce your experiments.
Hwanjo Yu, Ilhwan Ko, Youngdae Kim, Seung-won Hwang, and Wook-shin Han: iKernel: Exact Indexing for Support Vector Machines. Department of Computer Science and Engineering, POSTECH, South Korea, http://dm.postech.ac.kr/ikernel
BibTeX entry:
@inproceedings{hwanjo11sigmod,
author = "Hwanjo Yu and Ilhwan Ko and Youngdae Kim and Seung-won Hwang and Wook-shin Han",
title = "Exact Indexing for Support Vector Machines",
booktitle = {Proc. ACM Int. Conf. Management of Data (SIGMOD'11)},
pages = "",
year = "2011"
}
Downloads:
Code and data sets: http://dm.postech.ac.kr/ikernel/ikernel.tar.gz