I am looking for software and/or papers on automatic data insight generation. I think it is more nuanced than AutoML --- or I misunderstood it as an umbrella term.
By data insights, I loosely mean any result that is possibly interesting; examples include category outliers; correlation; anomalies, overall trends, and seasonality in time series; associations; predictability; and so on. I am interested in how these are mined automatically:
The only software I know that generates such insights automatically is Microsoft Power BI[0]. Narrative Science is another, but it seems much more advanced --- generating natural language reports using ontologies --- than what I am interested in.
P.S. Also asked on StackExchange: https://datascience.stackexchange.com/questions/85417/papers-on-automatic-data-insight-generation
[0]: https://docs.microsoft.com/en-us/power-bi/consumer/end-user-insight-types
[1]: https://narrativescience.com/lexio/how-it-works
Investigating Insight Generation and Decision Making with Visualizations in Real and Virtual Environments
- Conference: the Technology, Mind, and Society
- 📷Devin Michael Gill
- 📷Ian T. Ruginski
- Joshua Butner
- 📷Sarah H Creem-Regehr
Have a look at https://www2.deloitte.com/us/en/insights/topics/analytics/automated-machine-learning-predictive-insights.html#
Article A survey on automatic infographics and visualization recommendations
My perception is that it may be another ML problem...Automatic Data Insights.. please share your views...I am going to learn a lot out of this...
Investigating Insight Generation and Decision Making with Visualizations in Real and Virtual Environments
- Conference: the Technology, Mind, and Society
- 📷Devin Michael Gill
- 📷Ian T. Ruginski
- Joshua Butner
- 📷Sarah H Creem-Regehr
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