10:32:18 I agree as a new user 14:47:44 where can we find an FAQ link? 15:19:02 Try getmonero.org, if there's one, it'll be there. 17:02:54 Aloha 17:05:22 tonz0fphun: Hi. With machine learning, there have been two studies (that I am aware of) that try to use machine learning to probabalistically trace Monero transactions. There is the one by xmrack that you saw and Borggren, N., Kim, H.-Y., Yao, L., & Koplik, G. (2020). "Simulated blockchains for machine learning traceability and transaction values in the Monero network." 17:05:22 https://moneroresearch.info/index.php?action=resource_RESOURCEVIEW_CORE&id=58 17:06:02 Both of these studies take a supervised learning/"classification" approach 17:06:59 For now, the classification approach is probably ground already explored unless you have a radically different idea about how to do it. 17:08:05 I haven't seen a study that uses machine learning with a unsupervised learning/"clustering" approach. 17:08:14 Hm, I'm gonna read the paper. But also I suspect that there's an unsupervised approach, however my bet would be with labelled/annotated data if there's a pattern, it will get picked up or detected 17:08:34 Do you have a dataset or a mockup? 17:09:28 For the paper by ACK-J, he has the data available, yes. That's data based on "artificial" transactions on the Monero testnet 17:09:56 I don't think the artificial data for Borggren et al. (2020) is available 17:11:11 We have the real Monero blockchain data easily available in a SQL database curated by neptune 17:11:16 Yeah that's what I understood about ACK-J's PDF. I can try to reach out to the authors and see if they're willing to share any data. I'll go through the paper tonight and get back to you. 17:11:47 If you would like funding, there is the MAGIC Monero Fund (monerofund.org) or the Community Crowdfunding System (ccs.getmonero.org) 17:12:44 Ok thank you :) 22:39:17 tonz0fphun: Feel free to PM me if you have questions while reading