The paper 'Semantic Discord: Finding Unusual Local Patter… · DeepInquiry

Technology2020sglobalhigh confidence

The paper 'Semantic Discord: Finding Unusual Local Patterns for Time Series' was first submitted to arXiv on 30 January 2020.

Sources

Semantic Discord: Finding Unusual Local Patterns for Time Series (arxiv.org)
https://ui.adsabs.harvard.edu/abs/2020arXiv200111842Z/abstract (ui.adsabs.harvard.edu)
https://www.researchgate.net/publication/338989669_Semantic_Discord_Finding_Unusual_Local_Patterns_for_Time_Series (researchgate.net)

Building something that needs facts like these?

The DeepInquiry API returns facts with their sources as JSON. Free tier is 500 calls/month.

curl https://api.deepinquiry.ai/api/v1/facts/random \ -H "x-api-key: YOUR_KEY"

Get an API key →

Or add a free fact-of-the-day widget to your site →