Detecting spacecraft anomalies using LSTMs and nonparametric dynamic thresholding

~ Adrian Colyer ~ 3 Comments
Detecting spacecraft anomalies using LSTMs and nonparametric dynamic thresholding Hundman et al., KDD'18 How do you effectively monitor a spacecraft? That was the question facing NASA’s Jet Propulsion Laboratory as they looked forward towards exponentially increasing telemetry data rates for Earth Science satellites (e.g., around 85 terabytes/day for a Synthetic Aperture Radar satellite). Spacecraft are ... Continue Reading

I know you’ll be back: interpretable new user clustering and churn prediction on a mobile social application

~ Adrian Colyer ~ 2 Comments
I know you’ll be back: interpretable new user clustering and churn prediction on a mobile social application Yang et al., KDD'18 Churn rates (how fast users abandon your app / service) are really important in modelling a business. If the churn rate is too high, it’s hard to maintain growth. Since acquiring new customers is ... Continue Reading

Columnstore and B+ tree – are hybrid physical designs important?

~ Adrian Colyer ~ 12 Comments
Columnstore and B+ tree - are hybrid physical designs important? Dziedzic et al., SIGMOD'18 Earlier this week we looked at the design of column stores and their advantages for analytic workloads. What should you do though if you have a mixed workload including transaction processing, decision support, and operational analytics? Microsoft SQL Server supports hybrid ... Continue Reading