This is the implementation of the adaptive sparse vector technique and the report noisy max algorithm.
The codes were implemnted by C++11 with boost and JSON library and Python 3.7.
Json library: https://github.com/nlohmann/json
kosarak: http://www.philippe-fournier-viger.com/spmf/index.php?link=datasets.php
(direct): http://www.philippe-fournier-viger.com/spmf/datasets/kosarak_sequences.txt
BMS-POS: https://www.kdd.org/kdd-cup/view/kdd-cup-2000
(direct): http://www.kdd.org/cupfiles/KDDCup2000.zip
T40I10D100K: http://fimi.uantwerpen.be/data/
(direct): http://fimi.uantwerpen.be/data/T40I10D100K.dat
./download_dataset.sh
python data_process.py
./run_rnm.sh
./run_svt.sh
./run.sh
You can show the figures in the paper by running plot.ipynb.